Education: Bachelors or Masters degree in Computer Science, Information Technology.
*+ What are we looking for?*
We are looking for a skilled and motivated Data Engineer with 3 to 5 years of experience in data engineering, data pipelines, data warehousing, and cloud data platforms. The ideal candidate should have robust hands-on experience in building scalable data pipelines, working with large datasets, and implementing data solutions on cloud platforms such as AWS and Azure using tools like Azure Data Factory and Databricks.
This role is ideal for candidates who can independently build and manage data pipelines, support analytics platforms, and contribute to data architecture and data platform development.
Experience:
- 3 to 7 years of experience in Data Engineering, ETL/ELT development, data platform development, or data warehousing projects.
• Hands-on experience in building and maintaining production data pipelines.
• Experience working with cloud data platforms such as AWS or Azure.
• Experience working with large datasets and distributed data processing frameworks.
Technical Expertise:
- Strong knowledge of SQL and database performance tuning.
• Strong programming skills in Python and/or PySpark.
• Experience in building ETL/ELT pipelines and data workflows.
• Strong understanding of data warehousing concepts and data modelling (Star Schema, Snowflake Schema, Data Vault basic understanding).
• Experience working with structured, semi-structured, and unstructured data.
• Understanding of data lakes, data warehouses, and lakehouse architecture.
• Experience in data quality frameworks, data validation, and reconciliation processes.
• Knowledge of batch and streaming data processing.
• Experience in data partitioning, indexing, and performance optimization.
• Understanding of metadata management and data governance concepts.
Frameworks & Tools:
- Strong hands-on experience with Azure Data Factory
📌 Data Engineer (Bhubaneswar)
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📍 Bhubaneswar
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