Senior Data Engineer
Acuity Analytics
5 - 10 years
Pune
Posted: 10/01/2026
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
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