KPI Partners · 1 day ago
Lead Data Engineer
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Responsibilities
Data Engineering Leadership: Lead the 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.
Qualification
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Required
5+ years of experience in data engineering, with a strong background in building large-scale data solutions.
3+ years of hands-on experience developing and implementing data pipelines using PySpark, Azure Data Factory and Databricks.
Proven expertise in SQL for querying, manipulating, and analyzing large datasets.
Strong knowledge of ETL processes and data warehousing fundamentals.
Self-motivated and independent, with a “let’s get this done” mindset and the ability to thrive in a fast-paced and dynamic environment.
Preferred
Databricks Certification is a plus.
Experience with Azure-native services such as ADLS, Synapse/DW, Azure SQL DB, and Microsoft Fabric.
Familiarity with Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, and Cosmos DB.
Knowledge of SAP Hana.
Familiarity with DevOps practices and CI/CD deployment pipelines.
Benefits
Paid Holidays
Paid PTO
Full Health Benefits including Health, Dental, Vision, Life, LTD, STD.
FSA
HSA
401K
Company
KPI Partners
KPI Partners provides strategic guidance and technology systems for clients wishing.
Funding
Current Stage
Late StageRecent News
Analytics India Magazine
2024-02-16
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