Posted 12 June, 2026
Sr. Data Engineer - Azure
Simform
Gujarat,Ahmedabad,India,380058
Full Time
Reference: 219_658756_ZHAsYc7s3mBN
Job Title: Senior Data Engineer (Azure)
Location: Ahmedabad, Gujarat
Location: Ahmedabad, Gujarat
Experience: 4+ years
Job Type: Full Time
Department: Data Engineering
Job Type: Full Time
Department: Data Engineering
About Simform:
Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.
Role Overview:
We are looking for a Senior Data Engineer (Azure) who is passionate about managing large-scale data, eager to take on challenges, and committed to delivering exceptional results. This role requires expertise in Azure data services, ETL pipelines, and database management. If you are a proactive problem solver with a strong technical background and a team player with a positive attitude, we want to hear from you.
Key Responsibilities
- Design, develop, monitor, and maintain end-to-end data pipelines on Microsoft Fabric.
- Work with Microsoft Fabric services such as
- Fabric Pipelines (ETL/ELT)
- Fabric Dataflows Gen2
- Fabric Lakehouse (Bronze/Silver/Gold architecture)
- Fabric Warehouse (SQL analytics engine)
- OneLake (unified storage)
- Fabric Notebooks (PySpark / Spark SQL)
- Direct Lake mode for Power BI
- Fabric KQL Database / Eventstream / Real-Time Hub
- Fabric Shortcuts (crossworkspace & multi-cloud virtualization)
- Semantic Models
- Data Activator (alerting / action triggers)
For ingestion, transformation, modeling, analytics, and real-time processing.
- 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.
- Build distributed batch or real-time data solutions using Apache Kafka, Apache Airflow, Databricks, or Fabric Real-Time Hub components.
- 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, governance, lineage, and compliance with security best practices.
- Participate in client interactions and stakeholder meetings to gather requirements and provide technical insights.
- Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field.
- 4+ 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 Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, Warehouse, OneLake, Notebooks, Direct Lake, KQL Database, Real-Time Hub, Eventstream, Shortcuts, Semantic Models).
- Experience with big data frameworks like Spark, Kafka, and Airflow.
- Working knowledge of cloud data warehouse solutions such as Synapse, Snowflake, Redshift, or BigQuery.
- Experience with NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB) and relational databases.
- Strong analytical and problem-solving skills.
- Ability to work independently, mentor peers, and meet tight deadlines.
- Excellent interpersonal and communication skills.
- Experience with cloud-based data architecture and security best practices.
- Fabric certifications are a plus (DP600, DP700, Fabric Analytics/Data Engineer Associate).
- Experience with data lake architectures.
- Knowledge of machine learning model deployment and data processing for AI applications.
- Prior experience in automated data pipeline deployment using CI/CD workflows.
Why Join Us:
- Young Team, Thriving Culture
- Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
- Well-balanced learning and growth opportunities
- Free health insurance.
- Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
- Sponsorship for certifications/events and library service.
- Flexible work timing, leaves for life events, WFH and hybrid options.
