Zensar Technologies—Data Engineer

Job description

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. Requirements: . 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.