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 strong 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