Data Engineers & Consultants

JMAN Group; Chennai District; On-site; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Market-leading health insurance

Regular company socials

Annual company away days

Extensive training opportunities

Job summary

JMAN Group in Chennai seeks an experienced Data Platform Engineer to design and implement complex data pipelines, storage solutions, and governance processes. You will collaborate with the Data Architect and business stakeholders to translate requirements into scalable technical solutions, driving quality and speed.

The role requires 5+ years in data engineering, proficiency with SQL, Spark, Python, cloud platforms (Azure or GCP), and ETL/ELT tools.

Qualifications

• 5+ years of experience in data platform build or related field.
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, Databricks, Fabric) and principles.
• Proficient in SQL and Apache Spark / Python/Pyspark programming languages.
• Experience with cloud platforms like Azure, or GCP.
• Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/DBT.
• Experience in implementing or working with data governance frameworks and practices.
• Knowledge of data quality tools and practices.

Responsibilities

• Design and implement data pipelines using ETL/ELT tools and techniques.
• Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes.
• Develop and implement data quality checks and monitoring processes.
• Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline).
• Ensuring compliance with data governance and security standards throughout the data platform development process.
• Troubleshoot and resolve data platform issues promptly and effectively.
• Collaborate with the Data Architect to understand data platform requirements and design specifications.
• Assist with data modelling and optimization tasks.
• Work with business stakeholders to translate their needs into technical solutions.
• Document the data platform architecture, processes, and best practices.
• Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.
• Proactively suggest improvements and innovations for the data platform.

Skills

ETL/ELT

Data Warehousing

SQL and Spark/PySpark

Scripting & DevOps tools

Tools

Docker

Kubernetes

Git

CI/CD pipelines

Job description

• JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data.


• Founded in 2010, we are a team of 600+ consultants based in London, UK, and a team of 450+ engineers in Chennai, India. Having delivered multiple projects in the US, we are now opening a new office in New York to help us support and grow our US client base.


• We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains.


• Our team is as cutting edge as our work. We take pride for ourselves on being great to work with – no jargon or corporate-speak, flexible to change and receptive of feedback.


• We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high quality work and shape our journey to becoming a globally recognised brand. The business has grown quickly in the last 3 years with no signs of slowing down.

Why work at JMAN?

Our vision is to ensure JMAN Group is the passport to our team’s future. We want our team togo on a fast-paced, high-growth journey with us – when our people want to do something else, the skills, training, exposure, and values that JMAN has instilled in them should open doors all over the world.

• Market-leading private health insurance


• Regular company socials


• Annual company away days


• Extensive training opportunities

Technical specifications

• 5+ years of experience in data platformbuild or any related field.


• Familiarity and has worked with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, Databricks, Fabric) and principles


• Proficient in SQL and Apache Spark / Python/Pyspark programming languages.


• Experience with cloud platforms like Azure, or GCP.


• Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/DBT


• Experience in implementing or working with data governance frameworks and practicesto ensure data integrity and regulatory compliance.


• Knowledge of data qualitytools and practices.


• Good to have skillsinclude o Data visualization usingPower BI, Tableau,or Looker, and familiarity with full-stack technologies.


• Experience with containerization technologies (e.g., Docker, Kubernetes)


• Experience with CI/CD pipelines and DevOps methodologies.


• Excellent communication, collaboration, and problem-solving skills.


• Ability to work independently, adapt to changingpriorities, and learnnew technologies quickly.

Responsibilities

• Design and implement data pipelines using ETL/ELT tools and techniques.


• Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes.


• Develop and implement data quality checksand monitoring processes.


• Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline).


• Ensuring compliance with data governance and security standards throughout the data platform development process.


• Troubleshoot and resolve data platform issuespromptly and effectively.


• Collaborate with the Data Architect to understand data platform requirements and design specifications.


• Assist with data modelling and optimization tasks.


• Work with business stakeholders to translate their needs into technical solutions.


• Document the data platformarchitecture, processes, and best practices.


• Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.


• Proactively suggestimprovements and innovations for the data platform.

Required Skillset:

• ETL or ELT: AWS Glue/Azure Data Factory/Synapse/ Matillion/dbt.


• Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone- Mandatory).


• SQL and Apache Spark / Python/Pyspark programming languages


• Scripting and DevOps tools(e.g., Git, CI/CD pipeline)

MOST Preferrably - Immediate to 30 Days Joiners

At JMAN, we expect our team membersto embody the following:

• Self-Driven & Proactive – Take ownership, execute tasks independently, and drive solutions with minimal supervision.


• Adaptability & Resilience – Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively.


• Commitment & Engagement – Ensure timesheet compliance, attend meetingsregularly, follow company policies, and actively participate in org-wide initiatives.


• Teamwork & Collaboration – Share knowledge, support colleagues, and contribute to talent retention and team success.


• Professionalism &Continuous Improvement – Maintain a professional demeanour and commit to ongoing learning and self-improvement.


• Mentoring & Knowledge Sharing – Guide and support juniorteam members, fosteringa culture of continuous learning and professional growth.


• Advocacy & Organizational Citizenship – Represent JMAN positively, uphold company values, respectothers, and honourcommitments, including punctuality and timely delivery.