Senior Data Engineer

Posted 2 Months Ago
14 Locations
Remote
Senior level
Agency
The Role
The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.
Summary Generated by Built In

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Business Development Executive to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

 

We are looking for a skilled Senior Data Engineer. This role, you will be responsible for building scalable data pipelines, working with large datasets, and optimizing data workflows in a cloud-based environment. You will collaborate closely with data and engineering teams to ensure efficient and reliable data processing.

 

Key Responsibilities

  • Design, build, and maintain robust data pipelines (ETL/ELT)
  • Work with Databricks for large-scale data processing using Spark and Delta Lake
  • Optimize data workflows, performance, and data storage solutions
  • Collaborate with cross-functional teams including data analysts, engineers, and stakeholders
  • Ensure data quality, reliability, and scalability across systems
  • Contribute to continuous improvement of data architecture and processes

 

 

Job requirements

  1. Strong experience with Databricks (Spark / Delta Lake)
  2. Proficiency in Python for data processing
  3. Strong knowledge of SQL
  4. Hands-on experience with ETL/ELT pipeline development
  5. Experience with at least one cloud platform (AWS, Azure, or GCP)
  6. Familiarity with Git and basic CI/CD practices

 

Nice to Have

  • Experience with dbt
  • Knowledge of streaming technologies (e.g., Kafka or similar)
  • Experience with Terraform or Infrastructure as Code (IaC)


 

Skills Required

  • Strong experience with Databricks (Spark / Delta Lake)
  • Proficiency in Python for data processing
  • Strong knowledge of SQL
  • Hands-on experience with ETL/ELT pipeline development
  • Experience with at least one cloud platform (AWS, Azure, or GCP)
  • Familiarity with Git and basic CI/CD practices
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The Company
20 Employees

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