Senior Data Engineer Azure Synapse

Quantiphi; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Quantiphi is seeking a Senior Data Engineer (Azure Synapse) to design and deliver robust big data pipelines across geographies. You will work on ingestion, storage, processing and optimization within the Azure Synapse ecosystem, collaborating with Architects and cloud teams to enable SaMD and AI-driven platforms.

You will apply deep knowledge of Synapse, ADF, Spark, and data lake services to deliver scalable solutions for healthcare analytics, ensuring high performance and reliability in a

Qualifications

• 3+ years of hands-on Data Engineering experience with strong knowledge of data structures, distributed systems, data modeling, and databases.
• Strong proficiency in SQL and hands-on experience with Python/PySpark.
• Extensive experience in developing Big Data solutions (migration, storage, processing) with 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.
• Big Data Distributions: Experience with Azure Synapse Analytics, Azure Data Lake Storage.
• Distributed Processing Frameworks: Strong experience with Apache Spark (Azure Synapse Spark Pools).
• Database/Warehouse: Azure Synapse SQL Pools, Azure Cosmos DB, Azure Data Explorer, and other Azure data services.
• Orchestration Frameworks: Azure Data Factory, Airflow, or similar.
• Message/Event Solutions: Azure Event Hubs, Azure Service Bus, Kafka.
• Container Orchestration: Kubernetes (AKS).

Responsibilities

• Azure Synapse Expertise: Develop utilities for migration, storage, and processing leveraging Azure Synapse Analytics.
• Design and build a cloud migration strategy for cloud and on‑premise apps, integrating with Synapse.
• Diagnose and troubleshoot complex distributed systems problems within Azure, especially Synapse environments.
• Build tools to ingest and process several TBs or PBs per day, optimizing performance and cost.
• Design and develop next‑gen storage and compute for large customers using Azure Synapse.
• Communicate effectively with Infrastructure, Network, Engineering, DevOps, SiteOps teams and cloud customers.
• Build advanced tooling for automation, testing, monitoring, and data operations across Synapse workspaces.

Skills

SQL

Python/PySpark

Big Data

Distributed systems

Data structures

Data modeling

Tools

Azure Synapse Analytics

Azure Data Factory

Azure Data Lake Storage

Apache Spark

Kubernetes

Airflow

Kafka

Job description

Job Description

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 modeling, 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!