Data Engineer

Responsibilities

• Design, build, and maintain data pipelines and engineering workflows
• Develop and optimize solutions using SQL, Python, and Databricks
• Independently manage and deliver tasks assigned from the project backlog
• Support initiatives involving:
  • Data ingestion, Process automation, transformation
  • Data quality assurance and validation
  • Data and system integration
• Ensure data accuracy, reliability, and operational efficiency across workflows
• Follow best practices in data engineering, documentation, and quality control
• Strong experience in SQL, Strong programming experience in Python
• Hands-on experience with Databricks
• Solid understanding of data engineering concepts, including pipeline development and automation
• Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
• Ability to collaborate effectively in a distributed/global team environment
• Familiarity with data quality assurance, testing, and validation processes
• Ability to work independently and manage assigned tasks with limited oversight
• Strong analytical, problem-solving, and communication skills

Qualifications

Nice to have Skills:

• Experience with Power BI, Qlik, or similar BI tools.
• Familiarity with data warehousing and dimensional modeling.

Responsibilities

Responsibilities

• Design, build, and maintain data pipelines and engineering workflows
• Develop and optimize solutions using SQL, Python, and Databricks
• Independently manage and deliver tasks assigned from the project backlog
• Support initiatives involving:
  • Data ingestion, Process automation, transformation
  • Data quality assurance and validation
  • Data and system integration
• Ensure data accuracy, reliability, and operational efficiency across workflows
• Follow best practices in data engineering, documentation, and quality control
• Strong experience in SQL, Strong programming experience in Python
• Hands-on experience with Databricks
• Solid understanding of data engineering concepts, including pipeline development and automation
• Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
• Ability to collaborate effectively in a distributed/global team environment
• Familiarity with data quality assurance, testing, and validation processes
• Ability to work independently and manage assigned tasks with limited oversight
• Strong analytical, problem-solving, and communication skills

Qualifications

Nice to have Skills:

• Experience with Power BI, Qlik, or similar BI tools.
• Familiarity with data warehousing and dimensional modeling.

Qualifications

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