Senior Executive (Data Engineering)

• Building and optimizing batch and streaming pipelines
• Developing end-to-end ETL/ELT workflows using modern tools
• Working with the Hadoop ecosystem (Spark, Hive, HDFS)
• Designing medallion architecture layers (Bronze, Silver, Gold)
• Implementing data modeling, including Star, Snowflake, and SCD patterns
• Ensuring high data quality, observability, and governance
• Supporting machine learning workflows with feature pipelines and MLOps best practices
• Collaborating with cloud infrastructure teams to improve performance, cost efficiency, and scalability
• Managing deployments using Git, CI/CD, and containerized environments

Professional Experience:

• 3-5 years of experience

Educational Background:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.