INFOPARK

Big Data Engineer (Scala/Spark)

Experience: 2+ Years

Location: Kochi, Kerala

Notice Period- Immediate to 30 Days

Role Overview
We are looking for a Big Data Engineer with a strong foundation in Scala and Spark. You will be responsible for building, maintaining, and optimizing large-scale data processing pipelines. The ideal candidate has hands-on experience in Scala and Spark to transform raw data into actionable insights.

Key Responsibilities
Data Pipeline Development: Design and develop scalable ETL/ELT pipelines using Spark or Scala.

Data Processing: Process structured and unstructured data at scale, ensuring high performance and data accuracy.

Optimization: Debug and tune Spark jobs for performance, memory management, and resource utilization.

Collaboration: Work closely with Data Architects and Analysts to understand requirements and implement data models.


Technical Requirements
Core Skills: Minimum 2 years of professional experience in Big Data technologies.

Programming: Strong proficiency in Scala (preferred) or Spark.

Frameworks: Extensive experience with Apache Spark (Spark SQL, Spark Streaming) is preferred

Ecosystem: Familiarity with Hadoop, Hive, or Presto.

Storage: Experience with file formats like Parquet, Avro, or ORC.

Cloud: Good to have exposure to AWS (Glue, EMR), Azure (Databricks), or GCP.

Team Lead - SQL (SSIS/Big Data)

Experience: 7+ Years

Location: Kochi, Kerala

Notice Period: Immediate to 30 Days

Role Overview
We are seeking a Team Lead to head our Database Support and SQL Development team. This role requires a blend of deep technical expertise in SQL Server and proven experience in managing Production Support operations. You will be responsible for team mentorship, ensuring system uptime, and managing high-stakes technical escalations.

Key Responsibilities
Team Leadership: Lead and mentor a team of SQL/Support engineers, conducting performance reviews and technical guidance.

Incident Management: Oversee the resolution of critical production issues (L2/L3), ensuring strict adherence to SLAs and incident management protocols.

Technical Oversight: Act as the final point of escalation for complex SQL queries, stored procedure optimizations, and database performance bottlenecks.

Process Improvement: Implement and refine support workflows, automation scripts, and monitoring dashboards to reduce manual intervention.

Stakeholder Management: Coordinate with clients and internal product teams regarding system health, release schedules, and root cause analysis (RCA).

Technical Requirements
Experience: 7+ years of experience in SQL Server, development/support role and maintenance.

Leadership: Experience in leading a team

Support Domain: Strong background in Production Support, Application Support, or Database Administration.

Operations: Deep understanding of ITIL processes (Incident, Problem, and Change Management).

Technical Skills: Expert-level Query Tuning, Indexing, SQL Agent jobs, and SSIS troubleshooting.

Tools: Proficiency in ticketing tools like ServiceNow or Jira.

Expertise in handling onshore client interactions

ETL/DWH Developers

Locations: Kochi | Bangalore

Experience: 3 – 7 Years

Notice Period: Immediate to 30 Days only

Interview Process: Internal technical rounds (Virtual) + Final Client Round F2F (Face-to-Face)

Job Summary
We are seeking a results-oriented ETL/Data Warehouse Developer to join our data engineering team. You will be responsible for designing and implementing robust data pipelines, maintaining the enterprise data warehouse, and ensuring high data quality for business intelligence. This role requires a candidate who can hit the ground running and is available to join within a month.

Key Responsibilities-:
Pipeline Development: Design, develop, and automate complex ETL/ELT workflows to extract data from various sources (SQL, APIs, Flat Files) into the Data Warehouse.

Data Modeling: Create and maintain logical and physical data models (Star Schema, Snowflake Schema) to support reporting needs.

Optimization: Perform performance tuning on ETL jobs and SQL queries to handle large-scale datasets efficiently.

Data Quality: Implement data validation, cleansing, and error-handling routines to ensure the "single source of truth" is accurate.

Maintenance: Troubleshoot production issues in the data warehouse and provide timely resolutions for batch or real-time failures.

Documentation: Create and update technical specifications, data mapping documents, and workflow diagrams.


Skillsets-:
Good exposure with ETL Tools like Informatica, SSIS etc. 
Ability to write complex SQL Queries
Excellent verbal and written communication skills to interact with global stakeholders.

Senior QA Automation Engineer

We are seeking a Senior QA Automation Engineer with strong experience in Azure DevOps and advanced automation practices. This role involves designing scalable test frameworks, integrating automation into CI/CD pipelines, and leveraging AI-powered tools for intelligent test case generation, flakiness detection, and predictive quality analytics. You will ensure high-quality releases across web, API, and mobile platforms while driving innovation in test automation.

Location- Trivandrum/Kochi

Notice Period- Immediate to within 30 Days

Key Responsibilities

·       Build and maintain robust automation frameworks using Playwright, Cypress, or Selenium for UI and RestAssured or Karate for API testing.

·       Implement automated test execution in Azure Pipelines, configure triggers, and optimize parallelization for faster feedback.

·       Utilize AI tools for automated test case creation, flakiness detection, and predictive analytics.

·       Define and execute comprehensive test strategies for functional, regression, smoke, and integration testing.

·       Automate REST API validations and schema checks; integrate with Azure DevOps test plans.

·       Use JMeter or Gatling for load and stress testing; analyze results and provide recommendations.

·       Utilize Azure Boards for defect tracking and reporting; perform root cause analysis.

·       Leverage Docker and Azure Kubernetes Service (AKS) for test environments; manage test data and mocks.

·       Track and report KPIs like test coverage, flakiness, and defect escape rate using Azure Test Plans dashboards.

·       Guide junior QA engineers and promote best practices in automation and CI/CD.

Required Qualifications

·       7+ years in QA with 5+ years in automation engineering.

·       Strong coding skills in Java, Python, or TypeScript.

·       Hands-on experience with Playwright, Cypress, Selenium, and Appium.

·       Expertise in Azure DevOps: Pipelines, Boards, Test Plans, and Artifacts.

·       Familiarity with AI-powered QA tools (e.g., Testim, Mabl, Functionize, or similar).

·       Proficient in Git and branching strategies.

·       Familiarity with Docker, AKS, and cloud-based test environments.

·       Strong debugging and problem-solving skills.

Preferred Qualifications

·       BDD/TDD experience with Cucumber or SpecFlow.

·       Performance testing with JMeter or Gatling.

·       Security testing knowledge (OWASP, ZAP).

·       Experience with BrowserStack or Sauce Labs for cross-browser/device testing.

·       Familiarity with service virtualization and feature flags.

Tools & Stack

·       Automation: Playwright, Cypress, Selenium, Appium

·       Languages: TypeScript, Java, Python

·       CI/CD: Azure DevOps Pipelines

·       API Testing: RestAssured, Karate

·       Performance: JMeter, Gatling

·       Management: Azure Boards, Azure Test Plans

·       Infra: Docker, AKS, Azure Cloud; BrowserStack/Sauce Labs

·       AI Tools: Testim, Mabl, Functionize, or similar for intelligent test generation and optimization

Manual QA Engineer (Azure Cloud)

Are you a Quality Assurance pro who knows the Azure ecosystem inside out? We’re looking for a Manual QA Engineer  who has very sound exposure in Azure Cloud Platform for our project opening in Bangalore.

What we’re looking for:

Manual Testing Excellence: 4+ years in functional, regression, and UAT testing.

Azure DevOps Native: Proficient in Azure Test Plans and Azure Boards.

Cloud Knowledge: Familiarity with Azure Portal and basic cloud services (Storage, SQL)


⏳ Notice Period: Immediate to 30 Days. 📍 Location: Hoodi, Bangalore

QA Engineer & Senior QA Engineer

We are seeking experienced QA Engineers and a Senior QA Engineer as a lead, to design, develop, and maintain automated test suites for ETL pipelines and complex data processing workflows in the healthcare domain (PySpark, Databricks, Camunda, Oracle). You will be responsible for ensuring the quality of platforms processing millions of medical records, with a strong focus on business rule validation and data integrity. This project involves processing and analysing a wide range of patient-level healthcare data, which supports solving complex healthcare challenges — from retrospective clinical studies to disease progression modelling.  In your daily activities, you will collaborate with a team of Architects who design effective solutions, and with the Development team, which ensures the highest standards of software. The Data we process over a billion records at a time, our engineers are responsible for the data analysis and construction and optimization of data flow processes. You will build data pipeline using ETL solutions for acquiring, processing and loading medical data into the Databricks using pyspark technologies. 

We are also looking for a Senior QA Engineer (3+ years) with strong experience in ETL and data testing to ensure the quality and integrity of large-scale healthcare data platforms. You will work on high-volume data pipelines built using PySpark, Databricks, and Oracle, validating business rules and ensuring accurate data processing across millions of records. You will collaborate closely with Architects and Development teams in an Agile/DevOps environment.

Core Responsibilities for Senior QA (Lead)
·      Ability to oversee and guide junior and mid-level engineers, providing technical direction and mentoring to support their growth.  
·      Delegating tasks effectively, ensuring clarity of expectations and alignment with delivery goals. 

Core Responsibilities for QA Engineers-:
Design and execute test strategies for ETL and data pipelines
Develop and maintain automated tests using Python
Perform data validation, reconciliation, and business rule testing
Support and guide junior QA engineers
Create test plans, test cases, and manage defects using JIRA
Collaborate with global teams, including Europe-based stakeholders

QUALIFICATIONS & SKILLS 
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or another related field 

Notice Period- Immediate to 40 Days preferred

For Senior QA-:
Technical skills and knowledge  
Essential 
•    8+ years of experience in software testing with experience on ETL Automation
•    Programming Languages: Python (intermediate), SQL (advanced), familiarity with Java/Scala beneficial. Pyspark is mandatory.
•    Database Technologies: Experience with Oracle, Databricks, Hive, Impala, or similar big data platforms
•    Version Control: Git, GitHub/GitLab workflows, branch management
•    CI/CD Tools: Jenkins, GitLab CI, or similar pipeline tools
•    Big Data: Experience with distributed data processing (Spark, Databricks ecosystem)
•    Data Modeling: Knowledge of dimensional modeling, slowly changing dimensions (SCD), star schemas
•    Test planning and strategy development
•    Test case design for complex data workflows
•    Defect tracking and management (JIRA, similar tools)
•    Container Technologies: Docker, container orchestration basics
·      Ability to present complex results in a clear language for both technical and non- 
·      technical audience 
·      Experience collaborating with teams from Europe, with an understanding of cross-cultural communication and remote delivery dynamics. 
·      A great team player mindset. 

 Personal skills and behaviors 
·      Excellent analytical & troubleshooting skills.            
·      Strong collaboration, written and verbal skills. 
·      Familiarity with project management concepts, specifically Agile/Scrum  
·      Ability to present complex results in a clear language for both technical and non-technical audience



Skills & Qualifications For QA Engineers-:
3+ years of experience in software testing, preferably in data/ETL Automation projects
Strong SQL (advanced) and Python (intermediate) skills
Experience with Databricks, Spark, Oracle, Hive, or Impala
Knowledge of dimensional modeling, SCD, and star schema
Experience with Git, CI/CD tools (Jenkins/GitLab CI)
Basic understanding of Docker and containerized environments
Familiarity with Agile/Scrum methodologies
Strong communication, analytical, and collaboration skills


Mandatory skillsets- ETL Automation Testing+Pyspark

SQL Developer/ Sustenance Engineer

Experience: 3+ Years

Location: Kochi, Kerala

Employment Type: Full-time

Role Overview
We are looking for a dedicated SQL Developer/ Engineer with a strong background in MS SQL Server and SSIS/ Big Data to join our team in Kochi. In this role, you will be responsible for ensuring the stability, reliability, and performance of our data integration pipelines and database systems. You will handle incident management, troubleshoot complex ETL failures, and work closely with development teams to implement bug fixes.

Key Responsibilities
Monitoring & Troubleshooting: Actively monitor scheduled SSIS packages and SQL Agent jobs. Identify, troubleshoot, and resolve failures in a timely manner to meet SLAs.

Incident Management: Handle L2/L3 support tickets related to data discrepancies, performance bottlenecks, and connectivity issues using tools like ServiceNow/Jira.

Performance Tuning: Analyze long-running queries and SSIS packages. Provide recommendations for indexing, query optimization, and resource management.

Data Integrity: Perform root cause analysis (RCA) for data-related issues and ensure high data quality across production environments.

Maintenance: Assist in database deployments, patch testing, and environment synchronization.

On-Call Support: Participate in a rotational on-call schedule to support critical production systems (if applicable).


Technical Requirements
SQL Server: Minimum 3 years of experience with T-SQL, Stored Procedures, Views, Triggers, and Functions.

SSIS: Strong experience in debugging and maintaining ETL packages, including knowledge of error handling, logging, and deployment models.

Database Administration: Basic understanding of SQL Server architecture, backups, restores, and security permissions.

Tools: Experience with SQL Profiler, Execution Plans, and version control (TFS/GIT).

Support Experience: Proven experience in a Production Support or Application Support environment with knowledge of ITIL processes.


Preferred Skills
Experience with scheduling tools like Control-M, Autosys, or ActiveBatch.

Knowledge of SSRS (Reporting Services) or Power BI is a plus.

Strong communication skills to interact with stakeholders and cross-functional teams.

Senior Big Data Engineer

The Role
We are looking for an experienced, innovative and highly motivated engineer who is capable of working
independently to design, develop, and support data engineering solutions. This role requires a considerable
focus on understanding our data we deal with as an organization, develop a better understanding of our data
through profiling, take ownership of the solution design, work collaboratively with the wider engineering team
to implement optimal solutions in a timely manner and ensure successful deployment and operation of the
platform in production. Our platform helps solve complex business challenges pertaining to healthcare data
such as mapping wide variety of healthcare drug and diagnosis data to standard coding frames. You will have
the opportunity to solve complex engineering challenges and develop innovative solutions. In your daily work
you will be responsible for creation and delivery of a platform loading and processing millions of electronic
medical records.

Core Responsibilities
• Ability to oversee and guide junior and mid-level engineers, providing technical direction and
mentoring to support their growth.
• Delegating tasks effectively, ensuring clarity of expectations and alignment with delivery goals.
• Ownership for the delivery of assigned workstreams, ensuring quality, timeliness, and accountability
across the team.
• Build pipelines for processing big amount of medical data
• Participate in analysis, system design, development, deployment and maintenance
• Conduct peer code reviews
• Contribute to the definition and adoption of technical standards
• Create comprehensive automated unit and integration tests

Qualifications
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics,
or another related field


Technical skills and knowledge
• 5+ years of the following language: SQL, Python, Scala
• 5+ years of experience in data engineering
• Strong understanding of Databricks platform
• Experience with Big Data Batch processing and Azure Cloud Services
• Practical knowledge of Apache Spark ecosystem, including Delta and Parquet data formats
• Experience with complex ETL design and implementation
• Experience with data analysis, data profiling, data integration, data quality, data warehousing, data
reporting
• Experience with CI/CD automation processes and tools such as Jenkins/GitLab


Additional/nice to have:
• Familiarity with AI-powered productivity tools such as Copilot or Cursor, and their practical use in dayto-day software development workflows (e.g. code generation, documentation, task automation, or
debugging support).
• Experience working in an Agile environment
• Experience with database design and modelling
• Previous experience with healthcare or pharmaceutical data would be an advantage
• Knowledge of algorithms & design patterns and how to apply them effectively
• Experience with large data volume (TBs’) processing 


Personal skills and behaviours
• Excellent analytical & troubleshooting skills
• Strong collaboration, written, and verbal skills
• Familiarity with project management concepts, specifically Agile/Scrum
• Ability to present complex results in a clear language for both technical and nontechnical audience
• Experience collaborating with teams from Europe, with an understanding of cross-cultural
communication and remote delivery dynamics
• A great team player mindset