Login Sign Up

Senior Data Engineer

Acuity Analytics

5 - 10 years

Pune

Posted: 10/01/2026

Getting a referral is 5x more effective than applying directly

Job Description

Acuity Analytics is hiring multiple 'Senior Data Engineers ' for its Data and Technology Services Team at Bengaluru, Gurgaon and Pune (hybrid).


"The position requires advanced proficiency in Python and SQL (covering both core programming and data manipulation), hands-on experience with cloud-native platform - Azure, and strong knowledge of Databricks (including core data engineering concepts); we need primarily are people with strong experience of working with data - from files, real-time data streams - using Python


'Immediate Joiners are highly preferred! ' (0-30 days)


Mandatory Skills:

  • Candidates should have a Bachelors or masters in science or engineering disciplines (Computer Science, Engineering, Math's, Physics, etc.) or a related field.
  • 6+ years of strong hands-on experience in a data engineering role, preferably within the financial services industry.
  • Strong experience with data pipeline tools and frameworks such as Python, SQL, and Spark.
  • Proficiency in cloud platforms, particularly Azure, Snowflake, and Databricks.
  • Experience with data integration from various sources including APIs and databases.
  • Strong understanding of data warehousing concepts and practices.
  • Familiarity with big data technologies and frameworks.
  • Excellent communication skills, both written and verbal.


Responsibilities:

  • Develop, optimize, and maintain scalable and reliable data pipelines using tools such as Python, SQL, and Spark.
  • Integrate data from various sources including APIs, databases, and cloud storage solutions such as Azure, Snowflake, and Databricks.
  • Implement data quality checks and ensure the accuracy and consistency of data.
  • Manage and optimize data storage solutions, ensuring high performance and availability.
  • Work closely with data scientists and DevOps engineers to ensure seamless integration of data pipelines and support machine learning model deployment.
  • Monitor and optimize the performance of data workflows to handle large volumes of data efficiently.
  • Implement security best practices and ensure compliance with industry standards.


Interested ones, please share your updated CVs at

Services you might be interested in

We Search & Apply Jobs for You!

Our team scans through 1000s of opportunities and applies to roles best suited to your profile

Save 100+ hours and focus on what matters - cracking interviews and landing offers.