Job Purpose:
Looking for exceptional Data Engineers with a proven track record of experience in creating systems for processing big data.
Job Responsibilities
Data processing and Management
- Extraction Transformation Loading (ETL) of required data from different source systems using multiple channels (Python / SQL on Azure cloud platform
- Design implement and continuously expand data pipelines by performing ETL activities
- Gather requirements and business process knowledge in order to transform data as per needs of end users
- Maintain and improve already existing processes
- Formulating data cuts and strategies to assess credit risk for new and existingand existing customers of the Bank.
- Analyze results identify patterns and trends in data Ability to define review reports and analysis
- Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives
- Interest in and familiarity with data analysis and the ability to slice and dice data.
- Reporting / Collaboration with Stakeholders
- Reporting results back to relevant stakeholders
- Creating appropriate documentation that allows stakeholders to understand the steps of data analysis process and duplicate or replicate the analysis if necessary.
Innovation
- Thinking evolving and making significant changes in the processes techniques methods so as to save time energy and money.
- Any other assignments depending on the needs of the organization
Educational Qualifications
BTech/Bsc/MSc or equivalent in IT / Computer science or related areas
Key Skills
- Excellent problemsolving capabilities with strong fundamentals in computer science
- Strong technical & analytical skills
- Strong knowledge in data processing involving complex transformations
- Strong written and verbal communication skills
- Excellent knowledge of current trends in the field of data analytics/business analytics field
Experience Required
- Experience of 2 years in role of business analyst/data analyst
- Experience of 2 years in Spark/Python/SQL/Azure Cloud in building maintaining as well as deploying scalable data pipelines
- Exposure to banking preferable
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