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Description supplied by the original job listing.
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
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.
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