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Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

5 - 9 years

0 Lacs

pune maharashtra india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data management analytics hadoop hive query sql spark mapping documentation design logical processing flow consistency model agile pyspark python lending risk ifrs testing visualization tableau qlik aws gcp certifications

Work Mode

On-site

Job Type

Full Time

Job Description

  • 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
  • Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
  • Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
  • Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
  • Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
  • Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
  • Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
  • Understanding of ER Diagram and Data Modeling concepts
  • Exposure to Data quality validation
  • Exposure to Data Management, Data Cleaning and Data Preparation
  • Exposure to Data Schema analysis.
  • Exposure to working in Agile framework.
  • SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit & Lending domain knowledge.
  • Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
  • Retail Credit / Traded Credit knowledge - applications will be considered.

Good To Have

  • BFSI Domain knowledge
  • Data Visualization - Tableau or Qlik Sense
  • Exposure to Hadoop, Hive and ETL.
  • Working knowledge of any cloud services like AWS or GCP or Azure.
  • Any relevant certifications would be a plus.

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