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# Sr. Data Engineer

- **Company:** Akaasa Technologies
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Information Systems, Computer Programming, Continuous Integration, Data as a Services, Extract Transform Load (ETL), Data Mining, Data Warehousing, Distributed Computing Environment, Github, Python (Programming Language), Scrum Methodology, Cloud Services, Data Streaming, Apache Spark, Reliability of Systems, Cloudformation, Data Lakes, Pyspark, Information Technology, AWS Glue, Apache Kafka, Terraform, Data Pipelines, Databricks
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us77cfab0d2a0b4b305e137f033266d8f0

## About the Role

Technical Stack & Requirements: Core Competencies: Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concepts (Medallion Architecture), Databricks, Sagemaker. Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions. Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability. Qualifications: Bachelor's degree in Computer Science or related field. Strong hands-on experience with Apache Spark and Glue. Proven ability to work with Python-based data pipelines. Experience with Git and GitHub Actions is mandatory. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline. 5-7+ years of enterprise Data Engineering experience. Strong Python development experience. Advanced SQL programming skills. Extensive experience with Apache Spark and PySpark. Strong experience with
Databricks application. Hands-on experience with AWS data services including: o S3 o AWS Glue o Athena o Lambda o Step Functions o EventBridge Experience building enterprise ETL and ELT pipelines. Strong understanding of distributed data processing. Experience working with large-scale cloud data platforms. Strong knowledge of dimensional data modeling. Experience implementing CI/CD pipelines. Familiarity with Agile/Scrum methodologies. Excellent communication and stakeholder management skills. Preferred Qualifications Financial Services or Asset Management industry experience. Knowledge of Apache Iceberg, Delta Lake, or Hudi. Experience with Airflow. Knowledge of Kafka or Kinesis streaming. Experience supporting AI/ML and advanced analytics platforms. AWS Professional or Specialty Certifications.



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