Sr. Data Engineer - Azure

Simform; Ahmedabad District; Hybrid; INR 1,200,000 - 1,500,000; Full time

Benefits offered by this job

Free health insurance

Flexible work timing

Sponsorship for certifications/events

Game zone in office

Affordable lunch service

Free snacks

Job summary

A leading digital engineering company located in Ahmedabad is seeking a Senior Data Engineer (Azure) with a passion for managing large-scale data. The ideal candidate should have 5+ years of experience in data engineering and ETL development, as well as strong expertise in Azure data services. This role offers a supportive and growth-focused environment, flexible work options, and benefits like free health insurance and learning opportunities. Join a young team dedicated to delivering exceptional data solutions.

Qualifications

• 5+ years of hands-on experience in data engineering and ETL development.
• Proficiency in Python and SQL for data processing and analysis.
• Strong expertise in Azure data services (ADF, Synapse, Databricks).

Responsibilities

• Design, develop, monitor, and maintain end-to-end data pipelines on Azure.
• Collaborate with cross-functional teams to integrate data solutions into production environments.
• Ensure data quality, integrity, and compliance with security best practices.

Skills

Data engineering

Python

SQL

Azure data services

ETL development

Apache Kafka

Apache Airflow

Big data processing frameworks

Analytical skills

Interpersonal skills

Education

Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field

Tools

Azure Data Factory

Databricks

Azure Synapse

PostgreSQL

MySQL

SQL Server

MongoDB

CosmosDB

Cassandra

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 works with Microsoft, Google Cloud, and Databricks, serving markets in North America, the UK, and Northern Europe. The company prides itself on a high work‑life balance and a culture that encourages growth.

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, and a proactive, team‑oriented mindset.

Key Responsibilities

• Design, develop, monitor, and maintain end‑to‑end data pipelines on Azure.
• Work with Azure services such as Azure Data Factory, Azure Synapse, Databricks, and Azure Blob Storage for data ingestion, processing, and analytics.
• 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 terabytes of data.
• Develop scalable and high‑throughput distributed batch or real‑time data solutions using Apache Kafka, Apache Airflow, and Databricks.
• 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, 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.
• 5+ 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 Azure data services (ADF, Synapse, Databricks, Blob Storage, etc.).
• Experience with big data processing frameworks like Spark, Kafka, and Airflow.
• Working knowledge of 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.
• Azure certification is a plus.

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 environment.
• Well‑balanced learning and growth opportunities.
• Free health insurance.
• Office facilities with game zone, in‑office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.
• Flexible work timing, leave for life events, WFH and hybrid options.