Senior Data Engineer / Lead Data Engineer – AWS | 5+ Years
We are looking for an experienced Senior Data Engineer / Lead Data Engineer to design, develop, and optimize scalable data platforms and ETL pipelines on AWS. The ideal candidate should have 5+ years of experience with strong expertise in AWS Glue, AWS Lambda, Redshift, Aurora PostgreSQL, MSK Kafka, AWS SQS, Apache Airflow, SQL, and Python. You will be responsible for building high-performance data pipelines, optimizing data workflows, ensuring data quality, and managing production data environments. The role includes resolving P1/P2 production incidents within SLA, troubleshooting complex data issues, and collaborating with Data Leads, Application Development, and cross-functional teams to deliver reliable and scalable data solutions. Experience in production pipeline management, performance tuning, data warehousing, and cloud-native data engineering is essential. Strong analytical, problem-solving, communication, and stakeholder management skills are required.
Skills: etl,airflow,aws