India Market Unit - Data Engineering - 08
Published date: 2026/11/07
- Location: Gujarat, India
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Position – Data Engineering Associate Manager
Job Description
The role:
1. Connecting to Data sources, importing data, and transforming data for Required Processing/ Reporting/ Business Intelligence
2. Designing data schemas/stores and data pipelines for storing and processing of different kind of structured and unstructured data sets like transaction data, review data, video feeds, process data, email data, social feed data and many more
3. Develop powerful data stories and visualization in the form of Dashboards
4. Working closely with our backend engineering team to build a robust suite of libraries for extracting and manipulating data for our apps.
5. Create libraries for data quality assurance and data sanity checks
Desired skills and experience:
1. Experience with SQL, other relational databases, and other types of databases like NoSQL
2. Hands on experience in Data Warehousing concepts
3. Strong problem solving and ETL capabilities
4. Experience in Spark
5. Familiar with testing strategies
6. Experience with implementation of RLS (Row level security) for access based on user roles.
BE/B.Tech or post graduate degree in Computer Applications or IT backgrounds
Position – Data Engineering Associate Manager
Job Description
The role:
1. Connecting to Data sources, importing data, and transforming data for Required Processing/ Reporting/ Business Intelligence
2. Designing data schemas/stores and data pipelines for storing and processing of different kind of structured and unstructured data sets like transaction data, review data, video feeds, process data, email data, social feed data and many more
3. Develop powerful data stories and visualization in the form of Dashboards
4. Working closely with our backend engineering team to build a robust suite of libraries for extracting and manipulating data for our apps.
5. Create libraries for data quality assurance and data sanity checks
Desired skills and experience:
1. Experience with SQL, other relational databases, and other types of databases like NoSQL
2. Hands on experience in Data Warehousing concepts
3. Strong problem solving and ETL capabilities
4. Experience in Spark
5. Familiar with testing strategies
6. Experience with implementation of RLS (Row level security) for access based on user roles.
BE/B.Tech or post graduate degree in Computer Applications or IT backgrounds
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