Senior/Lead Data Engineer - Data Pipelines & Data Warehousing (Azure, Databricks) - Remote
Lead design, development, and implementation of scalable data pipelines and data warehousing solutions. Collaborate with cross-functional teams to translate business requirements into robust data platforms, mentor junior engineers, and stay current with emerging data engineering technologies. Requires 12+ years IT experience, 8+ years data engineering, and hands-on Azure stack and Microsoft Fabric experience.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Title: Senior/Lead Data Engineer
Location: 100% Remote – PST Hours – Travel to Fremont, CA once every 2 Months for 3 Days (Expenses Paid)
Job Type: Contract – 12 Months
Key Skills: Sql, PySpark, Azure, Microsoft Fabric, ADF, and Databricks.
Key Responsibilities:
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- Data Engineering : Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies.
- Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions.
- Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability.
- Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform.
- Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development.
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Must-Have Skills & Qualifications:
- Minimum 12+ years of overall experience in IT Industry.
- 8+ years of experience in data engineering, with a strong background in building large-scale data solutions.
- 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions)
- 1-2 years of experience in Microsoft Fabric
- Some exposure/experience in SAP constructs
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