We are seeking an Engineering Manager (ETL) with 12-16 years of experience to join our ETL Development team. This role will report to Director of Engineering and the candidate will be involved in planning, and implementation of our centralized data warehouse solution for data acquisition, Ingestion and large data processing and automation/optimization across all the company products.
About the Role:
Candidate will play a crucial role in leading the Designing, Developing, and Leading the delivery of ETL processes and data architecture solutions.
Will collaborate with various stakeholders (data architects, analysts, and business stakeholders) to gather requirements, translate them into technical designs and own end-to-end delivery of solutions.
Key Responsibilities:
Manage a team of professionals , providing strategic guidance and direction to ensure their efforts are aligned with the organizations goals across multiple functional areas.
Lead the Design, Architect and Delivery of ETL processes and data integration solutions.
Envision, Develop and Maintain ETL workflows using tools such as SSIS, Azure Databricks, SparkSQL or similar.
Manage Data engineering projects but at the same time the person is expected to be very hands-on technical work .
Optimize ETL processes for performance, scalability, and reliability .
Play a key role to improve efficiency of business processes through process re-engineering and redesign.
Drive improvements in methodologies. Adheres to company policies and IT governance processes.
Hybrid role working from both home and office (Noida).
Qualifications:
Bachelor s degree in computer science, Information Technology, or a related field.
12-16 years of experience in ETL development and data integration.
Expertise working in complex solutions involving SSIS, T-SQL, Azure Databricks or similar.
Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
and experience in Data Modeling .
Knowledge of Azure data factory, Azure Data bricks, Azure Data Lake.
Experience in Scala, SparkSQL, Airflow is preferred.
Experience in data architecture and designing scalable ETL solutions is preferred.
Ability to work effectively in a team-oriented environment.
