Company Description JMAN Group is a fast-growing data engineering and data science consultancy We work primarily with Private Equity Funds and their Portfolio Companies to create commercial value using Data and Artificial Intelligence In addition we also work with growth businesses large corporates multinationals and charities We are headquartered in London with Offices in New York London and Chennai Our team of 450 people is a unique blend of individuals with skills across commercial consulting data science and software engineering We were founded by cousins Anush Newman Co-founder CEO and Leo Valan Co-founder CTO and have grown rapidly since 2019 In May 2023 we took a minority investment from Baird Capital and in January 2024 we opened an office in New York We have a global delivery model which means that we staff our projects with talent from all our locations based on the specific combination of skills needed and we have a global resourcing team that drive this within the business Technical Specification Strong Experience in anyone 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 Hands - on experience in anyone of data warehouse platforms like Azure SQL Server Redshift Big Query Databricks Snowflake To have strong hands-on experience to write SQL queries database query optimization and stored procedures Familiarity in working with data visualization tools like Power BI Tableau Looker Should have ability to integrate with SaaS based CRM Accounting and Financial systems HubSpot Salesforce NetSuite Zoho etc Should have experience in end-to-end deployment process from understanding business requirement idea to implementation Expertise in data solution architectures and the tools and techniques used for data management Constructs and implements operational data store and Data marts Strong proficiency in Python and PySpark Knowledge of SDLC Agile Scrum Methodologies Should have worked on a budgeting Service cost and product migration from legacy to modernized application Proficiency in SQL and experience working with relational databases like MySQL PostgreSQL etc Experience with NoSQL databases like MongoDB Cassandra or DynamoDB is a plus Strong experience working with on-premises and Cloud-based databases and lakes Proven experience as a Data Engineer with a focus on cloud platforms AWS Azure GCP Experience in Full stack technology is a plus Hands on experience in taking ownership on design patterns best practices in design patterns data models determine implementation strategy The role would require extensive internal interfacing including the CoE leadership business units Identify opportunities for automation and implement tools to streamline data engineering workflows Ensure compliance with data governance policies data privacy regulations and industry best practices Responsbilities Manage and lead a team of data engineers providing guidance mentorship and fostering a collaborative environment to maximize team performance Your role will involve the diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics To comply with coding standards and ensure the creation of test cases queries validations for all developed features Data governance - meta data management data quality etc Evaluate and recommend the Cloud data platform for customer needs with optimal solution To provide guidance and monitoring the team on end-to-end operational process Dimensional modelling business domain - Convert data into business domain entity using Dimensional modelling Data Vault design pattern You will oversee the development and maintenance of data pipelines ensuring data quality reliability security and scalability 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 Promote a culture of continuous learning sharing knowledge and keep abreast of emerging data engineering technologies and trends and recommend their adoption to improve efficiency and productivity Design and develop project proposals technology architecture Delivery management and career development strategies 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 Warehouse Azure SQL Server Redshift Big Query Databricks Snowflake Anyone - Mandatory Cloud Experience AWS Azure GCP Anyone - Mandatory Programming Language Apache Spark Python Data Patterns Data Modelling Product migration SECONDARY SKILLSET Data Visualization Power BI Tableau Looker Anyone - Good to have Full stack technologies Positive to have

📌 Technology Architect - Data Engineering (Chennai)
🏢 JMAN Group
📍 Chennai