Sr. Data Engineer - Azure(Fabric)

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, an 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. Autofill from resume Save time by uploading your resume. (Only PDF or DOCX format supported) Loading...