Chennai

Technology Enabler

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:

Overall 4+ years of strong experience with any one of ETL/ELT or building Data Pipeline tools like AWS Glue/Azure Data Factory/ Synapse/ Matillion/dbt.
Ability to use GIT for version control and to maintain versions of data models.
Experience in any data warehouse/platforms like Azure SQL Server/Redshift/Big Query/Databricks/Snowflake.
To have strong hands-on experience writing SQL queries, database query optimization and stored procedures.
Strong proficiency in programming languages like Python.
Proven hands-on experience with various Database Management Systems (DBMS).
Should have knowledge or involvement in CI/CD process.
Knowledge on working with data visualization tools like Power BI/Tableau/Looker.
Stay up to date with the latest industry trends and best practices in data engineering.
Validate, deploy components, and perform unit testing.
Knowledge in deployment process and business requirement.
Identify and resolve bottlenecks to maintain efficient data processing.
Analyse and organize raw data and data management systems.
Knowledge on any one of cloud technologies like AWS/Azure/GCP.
Knowledge of SDLC, Agile Scrum Methodologies.

Responsibilities:

Understand business requirements and data models, determine implementation strategy, and translate into code that confirms to best practices and standards.
Capable of comprehending business requirements and providing a clear perspective on operational updates, as well as addressing client inquiries.
To comply with coding standards and ensure the creation of test cases/queries/validations for all developed features.
To create and design test cases and data validation for Layer-wise operational process.
Ability to handle a small team to manage projects involving data validation and transition process.
Collaborate with cross-functional teams to understand data requirements and implement solutions that align with business objectives.

Competencies:

Ready to learn, adopt and implement state of the art evolving open-source technologies to provide path breaking business solutions to enhance top organisation globally.
Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.
Strong analytical and critical thinking skills
Excellent written and oral communication in English to collaborate with cross-functional teams.

Required Skillset:

Primary Skillset:

ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt (Anyone – Mandatory).
Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone – Mandatory).
Programming Language: Python.

Secondary Skillset:

Data Visualization: Power BI/Tableau/Looker. (Anyone – Mandatory).
Cloud Experience: AWS/Azure/GCP (Good to have).

Apply now

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