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Data Engineer - Financial Analytics Specialist
Data Engineer - Financial Analytics SpecialistConfidential • Bengaluru / Bangalore
Data Engineer - Financial Analytics Specialist

Data Engineer - Financial Analytics Specialist

Confidential • Bengaluru / Bangalore
16 days ago
Job description

Key Responsibilities

  • Write advanced T-SQL queries, stored procedures, and functions to handle complex data transformations, ensuring optimal performance and scalability.
  • Perform query performance optimization, including indexing strategies and tuning for large datasets.
  • Design, develop, and maintain ETL / ELT pipelines using tools like SSIS, ADF, or equivalent, ensuring seamless data integration and transformation.
  • Build and automate data workflows to support accurate and efficient data operations.
  • Collaborate with stakeholders to understand financial business processes and requirements.
  • Develop tailored data solutions to address challenges such as cost allocation, weighted distributions, and revenue recognition using mathematical and logical reasoning.
  • Conduct root cause analysis for data issues, resolving them swiftly to ensure data accuracy and reliability.
  • Apply critical thinking and problem-solving to transform business logic into actionable data workflows.
  • Partner with cross-functional teams to ensure data solutions align with business objectives.
  • Document data workflows, pipelines, and processes to support ongoing maintenance and scalability.

Required Skills and Experiences

  • Minimum 5+ years of experience require in the similar role or same skillset
  • Advanced proficiency in T-SQL and SQL Server, including tools like SSMS, SQL Profiler, and SQL Agent.
  • Proven experience developing and optimizing complex queries, stored procedures, and ETL pipelines.
  • Proficiency with SSIS for data integration and transformation.
  • Strong critical thinking and mathematical reasoning skills to design efficient solutions for business problems.
  • Demonstrated ability to handle complex financial data challenges, including proportional distributions and other mathematical transformations.
  • Solid understanding of financial concepts and processes, enabling seamless translation of business needs into data solutions.
  • Ability to work effectively with business stakeholders, translating requirements into technical solutions.
  • Excellent interpersonal and communication skills, fostering collaboration across teams.
  • Familiarity with Python, C#, or similar scripting languages for backend integration.
  • Experience with cloud ETL tools such as Azure Data Factory (ADF), Fivetran, or Air byte.
  • Knowledge of data governance and compliance principles.
  • Skills Required

    T-sql, Analytical Skills, Finance, Ssis, Sql

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