Walk-in Drive - Data Engineer (Virtual)
Simform (company site, opens in a new tab)4+ yrsAhmedabadRemoteDirect career pageEst. 12–20 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, monitor, and maintain end-to-end data pipelines on Microsoft Fabric and related Azure data services.
- Develop and optimize large-scale data ingestion, transformation, and analytical workflows handling TBs of structured and unstructured data using tools like Apache Kafka, Apache Airflow, and Databricks.
- Ensure data quality, integrity, security compliance, and collaborate with cross-functional teams for integrating data solutions into production.
Minimum Requirements
- 4+ years of hands-on experience in data engineering, ETL development, and data pipeline implementation.
- Proficiency in Python and SQL; strong expertise in Microsoft Fabric services including Pipelines, Dataflows Gen2, Lakehouse, Warehouse, OneLake, Notebooks, Direct Lake, KQL Database, Real-Time Hub, and Semantic Models.
- Experience with Spark, Kafka, Airflow, cloud data warehouse solutions (e.g. Synapse, Snowflake), relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, CosmosDB, Cassandra, GraphDB).
- Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
Ideal Candidate Profile
- Experienced working extensively with Microsoft Fabric ecosystem and Azure cloud data architecture.
- Capable of independently managing large-scale ETL/ELT pipelines and collaborating effectively with data scientists and engineering teams in production environments.
- Demonstrates strong analytical and problem-solving skills with prior exposure to data governance, security best practices, and possibly holding Fabric related certifications (DP‑600, DP‑700, etc.).