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Develop, maintain and support ETL/ELT solutions
Implement and manage Databricks pipelines and notebooks on Azure or AWS
Transform and analyze large datasets using SQL, Python, and PySpark or Scala
Work with the team on Microsoft Power BI
Create technical documentation for the project
Develop, maintain and support ETL/ELT solutions
Implement and manage Databricks pipeline/notebook on Microsoft Azure or AWS Cloud platforms
Use SQL/ Python, and PySpark or Scala to transform and analyze large datasets
Work collaboratively with the team on Microsoft Power BI
Create technical documentation related to the project
Strong experience in Data Integration, proficient in Databricks, and ETL/ELT Solutions
Strong SQL/Python skills for data transformation and analysis
Experience with Delta Lake concepts (tables, partitions, schema evolution)
Familiarity with cloud platforms (Azure, AWS)
Excellent verbal and written communication skills in English
Experience collaborating with international clients or counterparts, ideally including working with global teams
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 5 and day 54.
From 10,703 similar postings that came down. Coming down is not always a hire.
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We are looking for an experienced Data Integration Engineer specializing in Databricks to join our team. You will design enterprise data products and pipelines that deliver value to users and achieve business goals. You will collaborate with various stakeholders and contribute to creating engaging and delightful solutions by leveraging your design skills and methods. Come and join us to promote the role of design and achieve positive design outcomes. * Terms and Conditions apply. Responsibilities Develop, maintain and support ETL/ELT solutions Implement and manage Databricks pipeline/notebook on Microsoft Azure or AWS Cloud platforms Use SQL/ Python, and PySpark or Scala to transform and analyze large datasets Work collaboratively with the team on Microsoft Power BI Ensure the adherence to best practices in development, testing, and deployment Create technical documentation related to the project Requirements Strong experience in Data Integration, proficient in Databricks, and ETL/ELT Solutions Strong SQL/Python skills for data transformation and analysis Experience with Delta Lake concepts (tables, partitions, schema evolution) Familiarity with cloud platforms (Azure, AWS) Have hands-on experience developing data pipelines on Databricks, integrating data from multiple sources, and working closely with analytics, data science, and business teams to deliver reliable, high-quality data products Knowledge of data ingestion techniques and data integration best practices Excellent verbal and written communication skills in English Bachelor’s degree, ideally in Computer Science, Information Technology, or a related discipline No visa sponsorship available Nice to have Experience collaborating with international clients or counterparts, ideally including working with global teams
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