Data Engineer

AI overview

Design and maintain scalable data pipelines using big data technologies and collaborate with cross-functional teams to support analytics and machine learning initiatives.

Job Summary:

We are seeking a skilled and motivated Data Engineer with strong expertise in PySpark, SQL to join our Data Engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines and processing systems that support our business intelligence, analytics, and machine learning initiatives.

Key Responsibilities:

  • Develop and maintain scalable, robust data pipelines using Scala and big data technologies.
  • Work with large datasets from multiple sources to ingest, transform, and make data available for analytics and reporting.
  • Collaborate with Data Scientists, Analysts, and other engineers to understand data requirements and deliver efficient solutions.
  • Optimize ETL jobs for performance and cost.
  • Ensure data quality, governance, and consistency across all environments.
  • Monitor production jobs, troubleshoot issues, and ensure system reliability.
  • Implement best practices for data engineering, including code reviews, testing, and documentation.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 6+ years of experience as a Data Engineer or in a similar role.
  • Strong skills in PySpark and SQL (experience with functional programming is a plus).
  • Hands-on experience with big data tools like Apache Spark, Kafka, Hadoop, or Hive.
  • Proficiency in building ETL pipelines and working with structured and unstructured data.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
  • Familiarity with version control systems (e.g., Git), CI/CD, and DevOps practices.
  • Solid understanding of data warehousing and data modeling concepts.

Preferred Qualifications:

  • Knowledge of SQL and database systems such as Postgres, Redshift, or Snowflake.
  • Exposure to containerization technologies like Docker and orchestration tools like Airflow or Kubernetes.

Qode is dedicated to helping technical talent around the world find meaningful careers that match their skills and interests. Our platform provides a range of resources and tools that empower job seekers to take control of their careers and connect with top employers across a variety of industries. We believe that every individual deserves to find work that they're passionate about, and we are committed to making that vision a reality.Qode's team of experienced professionals is passionate about creating a better world of work by providing innovative solutions that improve the job search process for both job seekers and employers. We believe in transparency, trust, and collaboration, and we strive to build strong relationships with our customers and partners. Through our platform, we aim to create a more engaged and fulfilled global workforce that drives innovation and growth.

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