Tech Lead – Data Engineering
Job Summary:
We are looking for an experienced Tech Lead to drive data engineering initiatives and lead a team working on modern data platforms. The ideal candidate will have strong hands-on experience with one or more of Snowflake, Databricks, Redshift, BigQuery and experience with AWS or Azure or GCP cloud services.
Key Responsibilities:
Lead end-to-end design and development of scalable data pipelines and architectures.
Guide and mentor a team of data engineers and developers.
Collaborate with cross-functional teams to gather requirements and deliver data solutions.
Optimize and maintain data warehouses and cloud-based data platforms.
Ensure best practices in code quality, performance tuning, and data security.
Troubleshoot and resolve complex data and infrastructure issues.
8 - 15 years
Any graduation
Required Skills:
- Strong expertise in one of Snowflake, Databricks, Amazon Redshift, BigQuery and strong in a related cloud environment like AWS (S3, Lambda, Glue, EMR, etc.), Azure (Synapse, Databricks, ADF, Azure Functions, etc), GCP (DataProc, Cloud Functions, Data Fusion, etc)
- Solid understanding of data warehousing concepts and ETL processes.
- Proficiency in SQL, Python, Spark and data transformation techniques.
- Experience with CI/CD for data engineering projects.
- Strong leadership, communication, and stakeholder management skill
Preferred Qualifications:
Experience in Big Data tools and platforms.
Exposure to Agile methodologies and project delivery.
Data Engineer , Snowflake , Databricks , Redshift , AWS