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!
Skills Required
- 3+ years of hands-on data engineering experience
- Strong knowledge of data structures, distributed systems, data modeling, and databases
- Strong proficiency in SQL
- Hands-on experience with Python and PySpark
- Experience developing big data migration, storage, and processing solutions on cloud platforms
- Experience building and supporting large-scale production systems
- Experience developing ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines
- Deep expertise in Azure and Azure Synapse Analytics, including SQL Pools, Spark Pools, Data Explorer, and Pipelines
- Experience with Azure Data Lake Storage Gen2
- Strong experience with Apache Spark, especially Azure Synapse Spark Pools
- Experience with Azure Synapse SQL Pools, Azure Cosmos DB, Azure Data Explorer, and related Azure data services
- Experience with Azure Data Factory, Apache Airflow, or similar orchestration frameworks
- Experience with Azure Event Hubs, Azure Service Bus, or Kafka
- Experience with Kubernetes or Azure Kubernetes Service
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
