Senior Data Engineer

Quantiphi; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Quantiphi is seeking a Senior Data Engineer - Azure to join our data engineering team in India, with work locations including Mumbai, Bangalore, and Trivandrum. The role focuses on building robust data pipelines, handling terabyte-scale data, and delivering end-to-end Azure-based data solutions.

The ideal candidate will have 4–7 years of hands-on experience, strong SQL, Python/Java/Scala coding skills, and familiarity with Spark, DataBricks, Snowflake/Synapse, and ADF.

Qualifications

• 4–7 years of hands-on data engineering experience on Azure cloud platforms.
• Strong SQL proficiency and production-grade Python/Java/Scala code writing.
• Experience with designing and building data pipelines and data warehouses.

Responsibilities

• Design and implement data pipelines and streams on Azure.
• Collaborate with architects, product owners and cloud vendors to deliver scalable data solutions.
• Optimize performance and cost for terabyte-scale data workloads.

Skills

Spark/PySpark

SQL

Python

Java/Scala

Azure cloud

DataBricks

Snowflake/Synapse

ADF (Azure Data Factory)

ETL/Data Warehousing

MLOps / DevOps

Tools

Azure DevOps

Git

Airflow

Linux/Unix

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!Job Description:Role: Senior Data Engineer - AzureExperience Level: 4 to 7 YearsWork location: Mumbai, Bangalore & TrivandrumNotice Period:0-15 days(Only candidate serving NP)Role & Responsibilities: Support the planning and implementation of data flow design, provide sizing and configuration assistance. Assisting the Solution Architects on programs for transformations and modernizations of data solutions using Azure cloud data technologies. Write production quality code to deploy ML workflows in a distributed environment. Design and Build Azure Data Pipelines and Data StreamsDesign and build a hybrid data solution using a combination of on-premise and in-cloud services. Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact on our massive scale. Build tools to ingest and process terabyte-scale data on a daily basis. Communicate with a wide set of teams, including product owners, business analysts, data and enterprise architects, platform engineers, and cloud vendors, etc. Compilation of detailed design documents, technical specification documents, and test plans as required. Independently manage development tasks as per technical specification documents, prod deployment, post-prod support, etc Managing support to Unit Testing, SIT & UAT. Coordinate with business and support teams on testing and migration activities.Skills expectation: A strong hands-on knowledge of Spark/Pyspark. Expertise in writing SQL queries and performance optimization. Strong hands-on experience with a programming language like Python(preferred), java, or scala. Prior experience with working on cloud platforms like Azure(preferred) , AWS or GCP Prior experience of ADF is a plus. DataBricks experience is good to have. Data Warehouse: Snowflake or Synapse Design Dimensional Models for Data Warehouse and Data Marts. Knowledge of version control systems and build automation tools like Azure DevOps and/or MLOps Experience with operating system internals, file systems, disk/storage technologies, and storage Protocol.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!