Consultant - Business Consulting (Data Science/Engg)
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5 – 10 years of Python data engineering experience.
- Experience in developing data pipelines that process large volumes of data using Python, PySpark, Pandas, etc., on Azure.
- Experience in developing ETL, OLAP-based, and analytical applications.
- Experience in ingesting batch and streaming data from various data sources.
- Strong experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server, etc.).
- Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
- Experience with Azure Data Factory (ADF), Azure Data Bricks, Azure Synapse, Azure SQL, Azure Data Warehouse, Azure Data Lake Storage/Analytics, and Azure Database Migration Services.
- Experience with DevOps and CI/CD tools.
- Familiarity with REST APIs.
- Experience with CI/CD pipelines, branching strategies, and Git for code management.
- Comfortable working in Agile projects.
- Bachelor's degree in computer science, information technology, or a similar field.
- Strong analytical skills and keen eye for detail to take the lead on data pipeline design.
- Ability to work with a wide variety of Data Engineer tools and navigate IT, compliance, and security issues.
- Design and develop world‑class technology solutions to solve business problems across multiple client engagements.
- Collaborate with other teams to understand business requirements, client infrastructure, platforms, and overall strategy.
- Work closely with AI teams to build world‑class solutions and define AI strategy.
- Strong logical structuring and problem‑solving skills with expert understanding of databases and desire to turn data into actions.
- Strong verbal, written, and presentation skills.
- Clear and precise communication skills.
Seniority level: Mid‑Senior level.
Employment type: Full‑time.
Job function: Consulting, Information Technology, and Sales.
Industries: IT Services and IT Consulting.