Amazatic - Senior Data Analyst - SQL/Python

1 week ago

Pune, Maharashtra, India Amazatic Solutions Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Position :
Sr. Data Analyst

Experience :
5 - 9 years

Location :
Pune / Bangalore

Key Skills :
Strong SQL, Python, Pyspark, Jupyter Notebook, Agile / Scrum / Jira / Confluence, Microsoft Excel, Exposure to any cloud (GCP / AWS / Azure) would be a plus

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 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.

Role & Responsibilities

  • Take complete responsibility for the sprint stories' execution.
  • Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.
  • Mapping of business entities to technical attributes with the logic for transformation defined clearly.
  • Be accountable for the delivery of the tasks in the defined timelines with good quality.
  • Follow the processes for project execution and delivery.
  • Follow agile methodology.
  • Working with the team leads closely and contribute to the smooth delivery of the project.
  • Understand/define the architecture and discuss the pros-cons of the same with the team.
  • Involve in the brainstorming sessions and suggest improvements in the architecture/design.
  • Working with other teams leads to getting the architecture/design reviewed.
  • Keep all the stakeholders updated about the project, task status, risks, and issues if any.

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