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Data Engineer - ETL Pipelines

Negotiable
Full-time
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KAYGEN is an emerging leader in providing top talent for technology based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries

Key Responsibilities:
  1. Develop and maintain ETL pipelines using PySpark to process and transform data from various sources into our data warehouse.
  2. Collaborate with data scientists and analysts to understand data requirements and ensure data quality and accuracy.
  3. Optimize and performance-tune Spark jobs to handle large volumes of data efficiently.
  4. Create and maintain documentation for ETL processes, data schemas, and data dictionaries.
  5. Collaborate with the data infrastructure team to design and implement data storage solutions that meet performance and scalability requirements.
  6. Participate in on-call rotation for monitoring and maintaining data pipelines.
  7. Stay up-to-date with the latest trends and technologies in data engineering and Spark ecosystem.
Requirements:
  • Advanced proficiency in Python and SQL.
  • Strong experience with ETL pipeline development using PySpark.
  • Familiarity with one of the orchestration tools such as Apache Airflow, DBT, or Delta live tables.
  • Experience with distributed data processing and storage technologies (e.g., Hadoop, Spark, HDFS, AWS S3).
  • Solid understanding of data modeling and database design principles.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Nice to Have:
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery).
  • Experience with version control systems (e.g., Git).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Previous experience in a data engineering or similar role.


At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information please visit us at www.kaygen.com.

Benefits:
  • Healthcare Insurance
  • Vision and Dental Insurance
  • 401(k) Retirement Plan
  • Free Life Insurance
  • Vacation Time Off
  • Sick Time Off
  • Family Medical Leave (FMLA)
Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like: Certifications
  • Mentorship Program
  • Referrals
  • Family and Wellness benefits
  • Continuous Growth and Career Development

Last updated on Oct 4, 2023

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