Skills/Abilities and Knowledge

• Ability to read, write, speak and understand English
• Strong communication and collaboration skills
• Expertise in Scala (preferred) or Java, with proficiency in Python
• Strong experience with Apache Spark for distributed data processing
• Proficiency in building and maintaining ETL pipelines at scale
• Experience with AWS services: S3, Glue, Athena, EMR
• Strong understanding of relational databases and SQL
• Knowledge of data architecture, data warehousing, partitioning strategies, and columnar

storage formats (e.g., Parquet)

• Experience implementing data quality checks and validation frameworks
• Experience with workflow orchestration tools (Airflow preferred)
• Proficiency with Linux-based operating systems and shell scripting
• Experience with Git-based version control and collaborative development workflows
• Demonstrated ability and desire to continually expand skill set, and learn from and teach

others

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