freshteam
Sr. Data Engineer - Azure
Simform
Ahmedabad, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonSQLAzure Data FactoryAzure SynapseDatabricksAzure Blob Storage
Free
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PythonSQLAzure Data Factory
Key Skills for This Role
PythonSQLAzure Data FactoryAzure SynapseDatabricksAzure Blob Storage
Full Job Posting
Key Responsibilities
- Design, develop, monitor, and maintain end-to-end data pipelines on Azure.
- Work with Azure services such as Azure Data Factory (ADF), Azure Synapse, Databricks, and Azure Blob Storage for data ingestion, processing, and analytics.
- Develop and optimize data ingestion, transformation, and analytical workflows for structured and unstructured data.
- Design efficient data models to ensure optimal performance in data processing and storage.
- Implement large-scale data ingestion pipelines capable of handling TBs of data.
- Develop scalable and high-throughput distributed batch or real-time data solutions using Apache Kafka, Apache Airflow, and Databricks.
- Build and maintain ETL/ELT pipelines for data integration and migration.
- Work extensively with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB).
- Optimize SQL queries, performance tuning, indexing, partitioning, and denormalization strategies.
- Collaborate with cross-functional teams, including data scientists and software engineers, to integrate data solutions into production environments.
- Ensure data quality, integrity, and compliance with security best practices.
- Participate in client interactions and stakeholder meetings to gather requirements and provide technical insights.
Required Skills & Qualifications
- Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of hands-on experience in data engineering, ETL development, and data pipeline implementation.
- Proficiency in Python and SQL for data processing and analysis.
- Strong expertise in Azure data services (ADF, Synapse, Databricks, Blob Storage, etc.).
- Experience with big data processing frameworks like Spark, Kafka, and Airflow.
- Working knowledge of data warehouse solutions such as Synapse, Snowflake, Redshift, or BigQuery.
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