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• AWS
• Python
• SQL

• Strong experience with data integration (ETL/ELT) concepts.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Knowledge of, and experience with data transformation technologies and tools - Spark, Pyspark
• Experience with SQL and NoSQL technologies
• Desire to work with Agile/DataOps practices and methodologies
• Experience with continuous integration practices
• Able to write, debug, unit test, and performance test data integration processes
• Able to clearly define data quality issues
• Strong problem solving/critical thinking skills
• Ability to lead, mentor and coach other engineers
• Ability to communicate with, and influence, senior stakeholders
• Relational databases including Amazon RD.
• AWS technologies including S3/parquet, Glue, EMR, Lambda
• Snowflake or cloud data warehousing
• Data streaming technologies (Kinesis, Kafka) desirable
• Python programming
• Data modeling and virtualization (Denodo) - Optional

Minimum years of experience: 5-8 years

Certifications Needed: No

Top responsibilities you would expect the Subcon to shoulder and execute:

• Write, debug, unit test, and performance test data integration processes
• SQL and NoSQL technologies

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No