Manager - Analytics and Data Science, GIAI
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Nimble Gravity
NewDesign and build cloud-based data pipelines on Azure, leading a team of data engineers while optimizing ETL processes and data platforms like Databricks and Synapse Analytics. This senior role requires 5+ years as a data engineer with strong expertise in Azure services, PySpark, SQL, and Spark programming. Leadership experience and mentoring junior engineers are essential. US only.
Written from this posting by Neural Jobs AI. The full description is below.
Job Description: Senior Cloud Data Engineer
Position Overview:
We are seeking an experienced and innovative Senior Cloud Data Engineer to lead our clients in the design, development, and maintenance of cloud-based data solutions. As a key member of our data engineering team, you will be responsible for designing and developing robust data pipelines, optimizing data workflows, and ensuring the availability and reliability of our client’s cloud data platform.
Key Responsibilities:
Qualifications:
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
We do not sponsor H1B visas.
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Nimble Gravity is a data and AI consultancy that helps organizations build and adopt AI and analytics solutions.
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