Chennai

Data Consultant

About JMAN:

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 100+ consultants based in London, UK, and a team of 170+ 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 is the passport to our team’s future. We want our team to go 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.

Current Benefits:

Competitive annual bonus
Market-leading private health insurance
Regular company socials
Annual company away days
Extensive training opportunities

Technical specification:

3+ years of experience in data platform build or a related field.
Strong understanding of full-stack development principles and technologies (e.g., frontend frameworks, backend languages, APIs).
Experience with data visualization tools like Tableau or Power BI.
Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, Redshift).
Proficient in SQL and Apache Spark / Python programming languages.
Experience with cloud platforms like AWS, 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 to ensure data integrity and regulatory compliance.
Knowledge of data quality tools and practices.
Experience with containerization technologies (e.g., Docker, Kubernetes) (preferred).
Experience with CI/CD pipelines and DevOps methodologies.
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently, adapt to changing priorities, and learn new 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 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.

Required Skillset:

ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt.
Frontend frameworks, Backend languages, APIs
Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone – Mandatory).
Data Visualization: Power BI/Tableau/Looker
SQL and Apache Spark / Python programming languages
Containerization technologies (e.g., Docker, Kubernetes)
Cloud Experience: AWS/Azure/GCP.
Scripting and DevOps tools (e.g., Git, CI/CD pipeline)

Apply now

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