Data Engineer

• Architect and scale modern data platforms on AWS Design and build robust scalable Spark-based ETL/ELT pipelines and data workflows supporting batch and real-time use cases.
• Own end-to-end data lifecycle management From ingestion and transformation to modeling orchestration and serving layers.
• Ensure data quality governance and reliability Implement testing frameworks observability monitoring lineage and data validation practices.
• Drive platform optimization and cost efficiency Continuously improve performance scalability and cloud cost management across the data ecosystem.
• Establish engineering best practices CI/CD Infrastructure as Code code reviews documentation standards and secure data handling.
• Partner cross-functionally with technical and business stakeholders to translate data needs into reliable production-grade solutions

• Bachelors degree in the Computer field which requires logical creative thinking STEM majors MS degree preferred
• 5years of industryexperience is required
• TeamsTech Stack:
  Spark Scala Python DBT Airflow Kafka AWS EMR Hive Redshift Docker Lambda SNS SQS S3 Looker DynamoDB GitHub Actions Terraform
• Experience withdata models
• Experience with CI/CD
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions including product marketing finance and so on
• Experience in handling large-scale data with efficiency
• Strong analytical and problem-solving skills
• Experience in Financial Services or FinTech preferred

Thank you!

FocusKPI Hiring Team

Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.

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