Sr. Data Engineer - Azure at Simform Mobile App Development Company Los Angeles

Ahmedabad, gujarat, India -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Azure Data Services, ETL/ELT Pipelines, Python, SQL, PySpark, Apache Kafka, Apache Airflow, Databricks, PostgreSQL, MongoDB, CosmosDB, Spark, Data Modeling, NoSQL, Cloud Data Architecture

Industry

IT Services and IT Consulting

Description

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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Responsibilities

Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric and various Azure data services. Optimize data ingestion, transformation, and analytical workflows for both structured and unstructured large-scale data.