Tech

Sr. Data Engineer - Azure

Ahmedabad, Gujarat
Work Type: Full Time
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Job Title: Senior Data Engineer (Azure)
Location: Ahmedabad, Gujarat
Experience: 4+ years
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 (cross‑workspace & 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.
 Required Skills & Qualifications
  • 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 (DP‑600, DP‑700, Fabric Analytics/Data Engineer Associate).
 Preferred Qualifications (Nice to Have)
  • 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.

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