Pune, Maharashtra, India
Human Rights & Ethics in Tech
Full-Time
Virtusa
Overview
We are looking to onboard a Senior Data Engineer with strong data engineering skills and knowledge of Corporate Banking / Flexcube to support our Analytics Team. The role will involve integrating banking data into analytics workflows, optimizing data pipelines, and ensuring high data quality standards. The new hire will ensure efficient data processing and contribute to the successful delivery of ongoing projects. 1. Corporate Banking Knowledge.
- Strong hands-on experience in developing, optimizing, and managing ETL pipelines, particularly for large-scale, real-time data.
- Advanced proficiency in SQL.
- Expertise in Python programming languages.
- In-depth experience with Azure services (e.g., Azure Data Factory, Azure Databricks)
- Strong experience with Cloudera/Hadoop ecosystem, including HDFS, Hive, Spark,
- Knowledge of data governance, data quality, and data security best practices.
- Any Data engineer Professional Certification.
- Strong analytical and problem-solving skills 1. Data Pipeline Management Design and optimize ETL pipelines to integrate corporate banking data into the data lake (Cloudera/Hadoop, Azure Databricks)
- Data Integration & Transformation Integrate data from multiple sources, transforming it for analytics using Apache Spark and Databricks
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