Senior Data Engineer with Azure (ADF/Fabric/Synapse), SQL, Data modeling, ETL/ELT, Python/PySpark

IND-Pune-Smartworkshybridsenior

Posted 3 days ago · via Workday

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About this role

ABOUT US Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve the way we do business, build better judicial and regulatory systems. We help them get it right. JOB QUALIFICATIONS Education : Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field. Master’s degree preferred. Experience : At least 5+ years of experience in the field of Data Analytics/Engineering. Proven track record of leading data engineering initiatives or mentoring junior data engineers.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: sql, snowflake, aws, azure, pyspark…

Level fit

This role is senior-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in IND-Pune-Smartworks. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

sqlsnowflakeawsazurepysparkairflowdbtgitteams

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