INFOPARK

DevOps Engineer

Experience: 3 - 5 years
Roles & Responsibilities
? Ensure infrastructure scalability, reliability, and security by implementing infrastructure as code
(IaC) principles.
? Collaborate with software developers, quality assurance engineers and IT professionals to
guarantee smooth deployment, automation and management of software infrastructure.
? Design and implement CI/CD pipelines for multiple software applications and environments.
? Automate and streamline deployment processes, minimizing manual intervention and improving
system efficiency.
? Stay up-to-date with industry trends and emerging technologies, assessing their potential impact
and recommending adoption where appropriate.
? Troubleshoot software infrastructure issues and collaborate with the team to resolve them.
? Implement monitoring, alerting, and logging systems to ensure proactive management of cloud
environments.
? Ensure transparent communication with the customer
? Ensure compliance with organizational security policies and industry standards
? Document incident details, analyse root causes, and implement preventive measures.
Skill Set
? Acquaintance with software development processes and methodologies
? Experience with cloud infrastructure platforms such as AWS, Azure and GCP
? Excellent scripting skills in Bash, Python or Ruby
? Strong problem-solving and troubleshooting skills, with the ability to identify root causes and
implement effective solutions.
? Proficiency in configuration management tools such as Ansible, Chef, or Puppet
? Knowledge of security best practices and the ability to implement security controls at the
infrastructure level.
? Experience in monitoring tools such as Zabbix, Nagios, etc
? Hands-on knowledge of Linux fundamentals, System administration, performance tuning, etc
? Good knowledge of networking, routing and switching
? Communication and documentation skills
? Knowledge of containerization tools such as Docker, Kubernetes, etc
Technologies
? Zabbix, Nagios
? Containerization
? AWS, Azure, GCP
? Jenkins
? Sonarqube
? Ansible, Chef, Puppet, etc

Data Engineer (GCP)

4-6 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.


Key Responsibilities

Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.
Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)
Collaborate with business teams to understand key business objectives and data needs.
Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.
Ensure data models and structures are well-designed to facilitate analysis and reporting.
Act as a bridge between data engineers and business stakeholders , ensuring data is aligned with business needs.
Skill set

4-8 years of experience in a data analyst role
Excellent communication and presentation skills are essential.
Proficient in data engineering tools and languages such as Python, SQL, and Java.
Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.
Ability to work with databases(SQL & NoSQL) and perform complex data queries.
Familiarity with data wrangling, ETL processes and data cleaning techniques.
Clear understanding of data warehousing & cloud based analytics .
Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Sr. Data Analyst

Technical Analyst who can bridge the gap between business requirements, data and visualization.
7 - 10 years of experience in Data Analytics, Business Intelligence, Technical Analysis or a related field.


Key Responsibilities

Analyze data to identify trends, patterns, anomalies and business insights.
Understand business requirements and translate them into data and reporting needs.
Identify what data can be used to answer business questions.
Design and develop meaningful dashboards and visualizations using Tableau, Looker Studio or similar tools.
Decide the right KPIs, metrics, chart and visualizations for different business requirements.
Perform data validation, reconciliation and basic data quality checks.
Use SQL to extract, investigate and validate data.
Work with data engineers and technical teams to understand data sources and resolve data issues.
Skill set

7 - 10 years of experience in a data analyst role
Excellent communication and presentation skills are essential.
Good understanding of data structures, databases, joins, dimensions, measures and KPIs.
Strong SQL and data analysis skills.
Knowledge of Tableau, Looker Studio, Power BI or similar BI tools.
Strong analytical and problem-solving skills.
Ability to understand business context and connect it with data.
Ability to convert data into meaningful insights and visual stories.
Strong communication and stakeholder management skills.
Ability to explain technical and analytical concepts in simple business language.

Nice to have
Telecom industry/domain experience.
Knowledge of telecom KPIs, network performance, customer experience, usage, revenue or operational data.
Experience with Python or R.
Knowledge of data warehousing and data modeling.
Experience with cloud data platforms.
Experience with ETL/data pipelines.

Project Manager

Over 8 years of industry experience, including 2+ years in project management role.

Proficient in programming languages, development frameworks, databases, and project management tools, with expertise in methodologies and best practices.

Extensive experience managing service-based projects and driving successful delivery through the full project lifecycle.

Responsibilities

Lead and manage a team of developers, testers & infra team.
Provide technical guidance and mentorship to ensure skill development.
Develop detailed project plans and ensure adherence to timelines and budgets.
Define project scope, objectives and deliverables in collaboration with stakeholders.
Define project scope, milestones, goals & deliverables.
Oversee the development, testing and deployment of software solutions.
Clear idea about emerging technologies and recommend their adoption were beneficial.
Communicate project updates, risks and outcomes to management and clients.
Ensure code quality, scalability and security standards are maintained.
Anticipate technical challenges and proactively address them.
Skill Set

Strong proficiency in programming languages (e.g., Python, Java, C#) and development frameworks.
Knowledge of software development life cycles and agile methodologies.
Strong proficiency in estimation, schedule, resource allocation, budgeting, and timeline management.
Ability to lead, mentor and motivate technical teams.
Proficiency in project management software tools.
Skilled at analyzing project requirements to accurately define the technical scope.
Ability to translate complex technical concepts into clear business-oriented language for stakeholders.
Excellent presentation and documentation skills.

DevOps Engineer

Experience : 5-6 Years

Technical Skills
* Building and setting up new development tools and infrastructure
* Skills in setting up CI/CD environments.
* Identifying technical problems and developing software updates and ‘fixes
* Scripting/Programming Skills.
* Experience in various infrastructure automation tools such as AWS Cloud
Formation, ansible, puppet etc.
* Experience in cloud platforms such as AWS, azure, etc
* Skills in containerization tools such as Docker, Kubernetes etc
* Good knowledge about networking, routing and switching.
* Experience in managing Linux Operating Systems.

Needed technologies
* Linux Administration
* Jenkins or Code Pipeline or GitHub actions
* AWS, Azure
* Docker, Kubernetes

Added advantage
* Knowledge in Python scripting would be an add on