DataOps/Cloud Data Engineer

Required Skills Experience developing ETL processes with Informatica, Azure Data Factory and Databricks (Python, Lakeflow, and SQL Optimization) Experience with solution development with Databricks in Medallion Architecture. Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS. Microsoft Fabric) and be able to integrate with many different platforms to create data pipelines, jobs, automate tasks, and write scripts. Experience with Data pipeline and workflow development, orchestration, deployment, and automation and specializing in programming and pipelines to create and managing the dataflow, Delta Lake indexing, parallelism and movement of data.

Develop and manage data pipelines, jobs, and automated tasks using various cloud platforms. Focus on dataflow management, Delta Lake indexing, and the movement of data within a Medallion Architecture.

Requires extensive experience with ETL tools like Informatica and Azure Data Factory, alongside proficiency in Python and SQL. Candidates must be skilled in Databricks and the implementation of cloud data engineering workflows.

• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Informatica
• Azure Data Factory
• Databricks
• Python
• SQL
• T-SQL
• PL/SQL
• SSIS
• Microsoft Fabric
• Medallion Architecture
• ETL
• Delta Lake
• Data Pipelines
• Workflow Orchestration
• Lakeflow
• SQL Optimization

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum experience

5+ years

Apply by

Feb 21, 2027

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available