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Job Description
Key Responsibilities
Design and implement scalable data pipelines and analytics solutions using Azure services.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
Develop and maintain data models, ETL processes, and data integration workflows.
Ensure data quality, governance, and security across all analytics platforms.
Create interactive dashboards and visualizations to support business decision-making.
Optimize performance of data systems and troubleshoot issues as needed.
Contribute to the development and deployment of machine learning models and statistical analyses.




Participate in version-controlled development workflows and team-oriented analytics projects.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
4-6 years of experience in data engineering
Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL).
Experience developing and maintaining data governance and security frameworks across Databricks and enterprise data warehouse (EDW) ecosystems, including access controls, data lineage, auditability, and secure data-sharing practices.
Experience with Azure Data Factory for orchestrating data workflows.
Proficiency in Microsoft SQL Server for data storage and querying.
Hands-on experience with Azure Data Lake for big data storage and analytics.
Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.
Experience with version-control systems (GitHub, etc.).
Demonstrated ability to use data to make strategic recommenda

📌 Data Engineer (Bengaluru)
🏢 Albemarle
📍 Bengaluru