Sr. Data Engineer - Azure(Fabric)

Simform - Product Engineering Company; Ahmedabad District; On-site; INR 2,100,000 - 2,700,000; Full time

Benefits offered by this job

Free health insurance

WFH and hybrid options

Flexible work timings

Sponsorship for certifications/events

Job summary

Simform is seeking a Senior Data Engineer (Azure) to manage large-scale data workloads in Ahmedabad, Gujarat. You will design and maintain end-to-end data pipelines on Microsoft Fabric, optimize ingestion and transformation workflows, and collaborate with cross-functional teams to deliver robust data solutions.

Ideal candidates bring 4+ years in data engineering, strong Python/SQL skills, and expertise in Fabric, Spark, Kafka, and Airflow, plus experience with cloud data warehouses.

Qualifications

• 4+ years of hands-on data engineering experience.
• Proficiency in Python and SQL for data processing.
• Strong expertise in Microsoft Fabric technologies.
• Experience with Spark, Kafka, and Airflow.
• Experience with cloud data warehouses (Synapse, Snowflake, Redshift, BigQuery).
• Knowledge of NoSQL and relational databases.
• Excellent problem solving and communication skills.

Responsibilities

• Design, develop, monitor, and maintain end-to-end data pipelines on Microsoft Fabric.
• Develop and optimize data ingestion, transformation, and analytical workflows.
• Design efficient data models and optimize SQL queries.
• Ensure data quality, governance, and security best practices.
• Collaborate with data scientists and engineers in production environments.
• Participate in client interactions to gather requirements.

Skills

Python

SQL

Microsoft Fabric

Big data frameworks

Cloud data warehouses

NoSQL databases

Relational databases

Data modeling

Data governance

Education

Bachelor’s/Master’s degree in Computer Science or Data Engineering

Tools

Apache Kafka

Apache Airflow

Databricks

Spark

Job 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
• 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 deploymentand 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.