Data Engineer

Job description

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.