Simform Solutions - Senior Data Engineer - Azure (4-9 yrs)

Job Title : Senior Data Engineer (Azure)

Location : Ahmedabad, Gujarat

Job Type : Full Time

Department : Data Engineering

Job Summary :

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 Azure.
• Work with Azure services such as Azure Data Factory (ADF), 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 TBs 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.

• 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 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.

• 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.

• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Flexible work timing, leaves for life events, work-from-home options.
• Free health insurance.
• Office facility with a fully-equipped game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.