Senior Data Engineer - Azure Synapse Analytics

Quantiphi Analytics Solution Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Quantiphi Analytics Solution Pvt Ltd in Mumbai, Bangalore & Trivandrum is seeking a Senior Data Engineer (Azure Synapse) to design and deliver robust big data pipelines for structured and unstructured data across geographies.

You will work with Architects from Cloud, Software and ML to implement Azure Synapse based migrations, pipelines and storage solutions, optimizing performance, cost, and reliability in healthcare-focused projects.

Qualifications

• 3+ years of hands-on Data Engineering experience.
• Strong proficiency in SQL and Python/PySpark.
• Extensive experience in developing Big Data solutions on cloud platforms.
• Experience building ETL/ELT pipelines with Azure Data Factory and Synapse Pipelines.

Responsibilities

• Azure Synapse Expertise: Develop utilities for migration, storage, and processing using Azure Synapse Analytics.
• Cloud Migration Strategy: Design cloud migration strategies for cloud and on-premise apps with Azure Synapse integration.
• Troubleshooting & Optimization: Diagnose and troubleshoot distributed systems within Azure Synapse ecosystem.
• Large-Scale Data Processing: Build tools to process multi-terabytes per day in Azure Synapse.
• Next-Gen Storage & Compute: Design storage/compute for large customers using Synapse.
• Cross-Functional Collaboration: Work with Infrastructure, Network, Engineering, DevOps teams and cloud customers.
• Advanced Tooling: Develop tooling for automation, testing, monitoring, and data operations across Synapse workspaces.

Skills

SQL

Python/PySpark

ETL/ELT

Azure Data Factory

Synapse Pipelines

Azure Synapse

Tools

Azure Synapse Analytics

Azure Data Lake Storage

Apache Airflow

AKS

Job description

Senior Data Engineer (Azure Synapse) While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Senior Data Engineer (Azure Synapse) Experience Level: 3 to 6 Years Work location: Mumbai, Bangalore & Trivandrum

We are seeking a highly skilled and experienced Senior Data Engineer with a strong focus on Azure Synapse Analytics to join our innovative team within the healthcare domain. In this critical role, you will be instrumental in designing and delivering robust big data pipelines for both structured and unstructured data, operating across multiple geographies. Your expertise will directly contribute to helping healthcare organizations achieve their business goals through advanced data ingestion technologies, cloud services, and DevOps practices. You will collaborate closely with Architects from various specialties, including Cloud Engineering, Software Engineering, and ML Engineering, to create cutting-edge platforms, solutions, and applications. These initiatives will address the latest trends in the healthcare industry, such as digital diagnosis, software as a medical product (SaMD), and AI marketplaces.

Role & Responsibilities

• Azure Synapse Expertise: Work with cloud engineers and customers to solve complex big data problems by developing utilities for migration, storage, and processing specifically leveraging Azure Synapse Analytics.
• Cloud Migration Strategy: Design and build a comprehensive cloud migration strategy for both cloud and on-premise applications, with a strong emphasis on integrating with Azure Synapse.
• Troubleshooting & Optimization: Diagnose and troubleshoot complex distributed systems problems within the Azure ecosystem, developing solutions with a significant impact at massive scale, particularly within Synapse environments.
• Large-Scale Data Processing: Build tools to ingest and jobs to process several terabytes or petabytes per day, optimizing performance and cost within Azure Synapse.
• Next-Gen Storage & Compute: Design and develop next-generation storage and compute solutions for several large customers, utilizing the full capabilities of Azure Synapse.
• Cross-Functional Collaboration: Communicate effectively with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers, ensuring seamless integration and delivery.
• Advanced Tooling: Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple Azure Synapse workspaces and associated cloud clusters.

Skill Must Skills

• 3+ years of hands-on Data Engineering experience with strong knowledge of data structures, distributed systems, data modelling, and databases.
• Strong proficiency in SQL and hands-on experience with Python/PySpark .
• Extensive experience in developing Big Data solutions (migration, storage, processing) with a proven track record of implementing solutions on cloud platforms.
• Experience building and supporting large-scale systems in a production environment.
• Strong experience developing ETL/ELT pipelines using Azure Data Factory (ADF) and Synapse Pipelines.

Cloud Platforms

• Deep expertise in Azure, specifically Azure Synapse Analytics (SQL Pools, Spark Pools, Data Explorer, Pipelines).

Big Data Distributions

• Experience with Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2).

Distributed Processing Frameworks

• Strong experience with Apache Spark (especially within Azure Synapse Spark Pools).

Database/Warehouse

• Azure Synapse SQL Pools, Azure Cosmos DB, Azure Data Explorer, and other relevant Azure data services.

Orchestration Frameworks

• Azure Data Factory, Apache Airflow, or similar.

Message/Event Solutions

• Azure Event Hubs, Azure Service Bus, Kafka.

Container Orchestration (Good to have)

• Kubernetes (Azure Kubernetes Service - AKS).

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Experience Level Senior Level