Data Engineer (ETL ,Python, SQL,PowerBI)

No of years experience 6+ Yrs of experience Detailed job description - Skill Set: Over 2 years working experience in in one or more of the following functions: collections, fraud, lending operations and payments in financial institution/banking industry. Proven ability to analyse data and present it in an effective and meaningful manner Partner with business stakeholders to understand use case requirements and to help identify opportunities to deliver business value. Translate business requirements into functional specification documentation. Support the development and maintenance of dashboards that at-a-glance provide actionable insights. Identify and document business metrics, working to standardise data sources and definitions. Collaborate with onshore team and input into the build of data assets that supports dashboard or analytics output Ability to execute, complete, debug and enhance ETL using SQL, Python, SAS (EG & SMC), O365, Excel etc. Ability to present data in a graphical or pictorial format based on requirements using NABs visualisation tools such as Power BI. Ability to convert data into information and communicate actionable insights to stakeholders. Understand financial services data and able to understand data models and relationships to compile reporting and metrics. Demonstrable experience in data pipeline design and build and understand how to deal with various data types and missing data. Attention to detail, self-managed, strong data and problem-solving capabilities. Excellent communication skills. The skills you bring with you: Experience with Power BI,ETL using SQL, Python, SAS (EG & SMC), O365, Excel etc Experience with data solutions in Cloud (preferably with AWS) as well as on-premises assets like Oracle Demonstrated capability with the development of and performance-tuning skills f or RDBMS (e.g. Oracle, Teradata, Snowflake, Redshift etc) databases Mandatory Skills ETL using SQL, Python, SAS (EG & SMC) and PowerBI Vendor Proposed Rate (as per ECMS system) 9400 INR/Day Work Location Gurgaon