• Minimum 4 years experienced & motivated ETL Developer skilled in the design, development & deployment of Python & PySpark based XML Frameworks for ingestion of data from various source systems to Snowflake in AWS & Google Cloud Platform (GCP) environments.

• Hands-on coding using Python, PySpark in cloud-based environment involving big-data frameworks in AWS resources like EMR, Lambda, S3 bucket, RDS, EC2, ECS, EKS etc.

• Experience in ETL frameworks for data ingestion, data pipeline to Snowflake Data Warehouse at high-frequency & volume scenarios (giga / tera-bytes of data ingestions per day / month).

• Optimize pyspark jobs for performance, efficiency, trouble shoot issues, ensure data quality and availability

• Implement processes for automating data delivery, monitoring data quality, production deployment.

• The candidate should be an expert in development with hands-on experience in leveraging Git / GitLab based repository management with understanding of Government Commercial Cloud (GCC) requirements.

• Proficient in consulting communication skills - good in articulating business problem, approach for solution, respond to changes in scenarios for business problems.

• Degree in Computer Science, Computer Engineering or any STEM equivalent

• Familiar with working in Government Commercial Cloud (GCC) environment.

• Independent and self-motivated contributor and passionate about software development