Location
Bangalore | India
Job description
The data engineering team closely works with the Technology and Analytics team to design, propose and develop solutions keeping the growing scale & business requirements in mind. Looking for a leader who shall own, define and execute the overall data engineering practice vision.
Responsibilities:
- Build and mentor a world class team, recognize their strengths, and lead them to take ownership of end-to-end data architecture
- Design and build best in class architecture for leveraging data, optimize data pipelines in support of descriptive analytics, data science, and ML
- Develop and implement a global data governance strategy to enable data privacy and security protocols and ensure adherence
- Stay on top of latest developments in tech stack and propose potential upgrades to existing systems
Requirements:
- 8+ years of experience in Data Engineering - Designing databases, building data pipelines, and maintaining data governance protocols in cloud platforms
- A visionary in technical architecture, with experience building and maintaining Data Engineering Products, along with demonstrated ability to take accountability for achieving results
- Hands-on working experience with Python, ETL pipelines, advanced SQL
- Strong understanding of AWS Services - Redshift, Lambda, Glue, Athena, security protocols
- Experience in any Cloud DW Redshift / Snowflake / BigQuery / Synapse
- Strong data Modeling and database design experience with Redshift or other relational databases
- Experience working with Agile methodologies, Test Driven Development and implementing CI/CD pipelines using Gitlab and Docker
- Good understanding of ETL/ELT technology and processes
- Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs
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