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Urgent! Data Integration and Optimization Engineer Job Opening In Industrial Area – Now Hiring AS Technology Corporation

Data Integration and Optimization Engineer



Job description

We are seeking skilled and motivated Spark & Databricks Developers to join our dynamic team for a long-term project.

The ideal candidate will have strong hands-on experience in Apache Spark, Databricks, and GitHub-based development workflows.

Key Responsibilities:

  • Design, develop, and optimize big data pipelines using Apache Spark.
  • Build and maintain scalable data solutions on Databricks.
  • Collaborate with cross-functional teams for data integration and transformation.
  • Manage version control and code collaboration using GitHub.
  • Ensure data quality, performance tuning, and job optimization.
  • Participate in code reviews, testing, and documentation activities.

Must-Have Skills:

  • 5–8 years of experience in Data Engineering or related roles
  • Strong hands-on expertise in Apache Spark (Batch & Streaming)
  • Proficiency in Databricks for developing and managing data workflows
  • Experience with GitHub (version control, pull requests, branching strategies)
  • Good understanding of Data Lake and Data Warehouse architectures
  • Strong SQL and Python scripting skills
  • In-depth knowledge of Python programming

Good-to-Have Skills:

  • Experience with Azure Data Lake, AWS S3, or GCP BigQuery
  • Familiarity with Delta Lake and Databricks SQL
  • Exposure to CI/CD pipelines and DevOps practices
  • Experience with ETL tools or data modeling
  • Understanding of data governance, security, and performance tuning best practices


Required Skill Profession

Computer Occupations



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