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Popular data-engineer role, metro location, broad Azure/Databricks/BI skillset increases candidate competition.
Data engineering skills transferable, but Azure Databricks and Power BI requirements raise domain specificity moderately.
Explicit 6–8 years plus mandatory Databricks, advanced SQL and Azure skills enforce strict shortlisting.
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Design, implement, and manage data pipelines using Azure Data Factory and Azure Synapse Analytics.
Develop and maintain data engineering solutions using Databricks and advanced SQL for data manipulation and querying.
Create and manage reports and dashboards with Power BI to provide actionable insights and support client data needs.
6 to 8 years of experience in data engineering and development roles.
Hands-on experience with Databricks and advanced SQL is mandatory.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Flexible to work in US shifts; location in India (Pune - Birlasoft Office - Hinjewadi).
Experienced in end-to-end data engineering projects involving Azure Data Factory and Azure Synapse Analytics.
Capable of client interaction for requirements gathering, training, and support, indicating strong collaborative skills.
Skilled in data visualization with Power BI and familiar with data modeling, ETL, and query optimization concepts.