Role Overview: Play a role of Data Architect, designs and manages centralized, end-to-end data architecture solutions. A senior data engineer should be responsible for design and implementation of scalable, audit-focused data integration solutions by leveraging JD Edwards ERP, cloud-based ETL tools like Informatica Cloud and Azure Data Factory, and collaborating with global teams to deliver secure, high-performance financial data workflows. Ability to translate stakeholder or business requirements into well- structured design/technical documents for data lineage, data pipeline and analytics.

The Senior Associate 2 will be responsible for:

Development & Execution

Technical Skills
Databricks architecture, Unity Catalog, and Azure RBAC
Python, SQL and Spark.
Azure Data Factory.
Azure Data Lake Storage.
6+ years of total IT Experience in ETL, Databricks and Microsoft Azure.
Robust expertise in ERP systems, including their implementation and design principles. Familiarity with the Financial module is essential.




Proficient in Database architecture and data modeling.
Experience in building ETL/ELT processes and Data Ingestion/Data Migration.
Should be able to monitor, troubleshoot and optimize the performance of Databricks notebooks, Azure Data Factory and Synapse workloads.
Must have Hands-on experience on Azure Cloud Services: (Azure Databricks, Azure Data Lake, Synapse Analytics, Logic Apps & Function Apps, Azure Functions, Azure SQL DB, Azure Data Factory)
Must have robust knowledge on Python and PySpark, should have ability to write PySpark scripts for developing data workflows and debugging.
Must have experience in concepts like Partitioning, optimization, and performance tuning.
Any experience on Visualization tools or Power Apps is an added advantage
Experience in writing SQL queries and/or database management skills in Oracle/SQL server. Data warehousing working knowledge is preferred.

📌 Solution Lead Manager Hyderabad
🏢 AMS
📍 Hyderabad