Senior Data Engineer
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Job Title: Senior Data Engineer
Eperience - 10+ to 18 yrs
Location: Remote
Type: Contract( Comfortable with a 6-month contractual role)
Requires strong hands-Experience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling.
Required Skills:
• 10+ years of Software Engineering / Data Engineering experience.
• Strong SQL Server and T-SQL expertise.
• Strong experience working in the Azure environment.
• Hands-on experience with Azure Data Factory.
• Experience with Azure Data Lake.
• Hands-on experience with Microsoft Fabric and familiarity with OneLake.
• Experience with Azure Logic Apps and integration workflows.
• Experience with Power BI / Reporting.
• Strong Data Modeling and ETL/ELT experience.
• Experience with GitHub and CI/CD practices.
• Experience with REST API integrations, preferably with Dynamics 365.
• Strong troubleshooting and production support experience for enterprise applications.
Job ID: 153658179
Skills:
Postgres Sql, Debugging, Pyspark, Data Modeling, Data Warehousing, Sql, Data Analysis, Azure cloud ecosystem, Performance optimization, Enterprise data flows, ETL pipelines
Skills:
Github, Adf, Azure Databricks, Python, Databricks Apps, Azure SQL DB, Medallion Architecture, CI CD, Prompt Engineering, Azure AI Foundry, Llm
Skills:
data discovery , Google Cloud Platform, Data Quality, Kafka, Slas, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, Observability practices, AI ML use cases, SLOs, Google Cloud Storage, Data pipelines, Data versioning
Skills:
Java, Quicksight, S3, Redshift, Python, AWS, Etl, Redshift Serverless, cdc, Glue, Go
Skills:
Java, Data Security, PostgreSQL, Apache Spark, SQL Server, Data Governance, Sql, Databricks, Testing Frameworks, Data Modelling, Python, AWS, Airflow, Batch and streaming data pipelines, Monitoring and observability tools, Data quality and validation, dbt, CI CD pipelines
