Designation: Redshift DWH Lead : 6 to 10 Years
Office Days 3 days (Flexible)
Location Gurgaon, Pune , Bangalore, Chennai , Hyderbad

Role and responsibilities
- The Lead Data Engineer will design and implement data solutions that support the organizations strategic business goals.
- Focuses on database design, performance optimization, and ETL pipeline.
- Redshift design review processes and resolved technical problems.
- Tests, monitors, manage and validate data warehouse activity including data extraction.
- Hands-on experience in writing AWS Glue, EMR, Python, and Spark jobs.
- Participate in design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
- Implement automated workflows and routines using workflow scheduling tools to ensure compliance with technical processes and standards.
- Identify, communicate, and mitigate Risks, Assumptions, Issues, and Decisions throughout full lifecycle.

Technical skills requirements
- The candidate must demonstrate proficiency in,




- Experience in Design, build and configure AWS Redshift DWH to meet business process and application
- requirements.
- At least one/two Redshift design end-to-end implementations with long-term project association.
- Experience in Redshift design review processes and resolved technical problems.
- Experience in query tuning and optimization, designing Sort and Distribution keys.
- Experience in processing design optimal queries to aggregate data and build reports or data feeds for downstream sources.
- Experience in serving Redshift Data to other sources.
- Having robust SQL skills, data types, and AWS ecosystem components.
- Experience working on large-scale, distributed systems
- Exposure to various ETL and Business Intelligence tools
- Solid grounding in Agile methodologies
- Experience with git and other source control systems
- Strong communication and presentation skills

Nice-to-have skills
- AWS Cloud cer

📌 Redshift DWH Lead (Pune)
🏢 ADI Group
📍 Pune