EY FS - RC MS EY Comply RVS Data Engineer Staff 

India, Maharashtra, Pune 

118086305

Responsibilities – Staff:

• Designing and developing software components using various tools viz., PySpark, Sqoop, Flume, Azure Databricks and etc.
• Perform detailed analysis and effectively interact with the onshore/offshore team members.
• Ensure all deliverables conform to the highest quality standards and are executed in a timely manner.
• Work independently with minimum supervision.
• The role is deadline oriented and may require working under US time schedule.
• Identify areas of improvement and bring in a change to streamline the work environment.
• Conducting performance tests.
• Consulting with the design team.
• Ensuring high performance of applications and providing support.
• Team player and works well with development/ product engineering teams
• Problem solver and good at troubleshooting complex problems to find the root cause and provide solution.
• Passionate developer who is committed to deliver high-quality solutions/products.

Position Requirements - Staff:

• 2 – 4 years of experience in BCM or WAM industry, Exposure to US based asset management or fund administration firm will be an add on.
• Should have an understanding of data in BCM/WAM space, well versed with KDEs (Funds, Positions, Transactions, Trail Balance, Securities, Investor and etc) and their granularities.
• Should be strong in programming languages namely Python.
• Should have hands-on experience on Big Data tools namely PySpark, Sqoop, Hive and Hadoop Cluster.
• Should have hands-on experience on Cloud technologies, preferably Azure and experience in working with Azure Databricks.
• Should be an expert working on databases namely Oracle, SQL Server and exposure to Big Data is a plus.
• Knowledge on Data Visualization tools is a plus.
• Should be able to write programs to perform file/data validations, EDA and data cleansing.
• Should be highly data driven and able to write complex data transformation programs using PySpark, Python.
• Experience in data integration and data processing using Spark and Python.
• Hands-on experience in creating real time data streamin solutions using Spark Streaming, Flume.
• Experience in handling large data set (in terabytes) and writing Spark jobs and hive queries to perform data analysis.
• Experience working in an agile environment

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