Data Engineer

4 days ago

Gurgaon, Haryana, India Skillventory Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities

Role Purpose

The Data Engineer will be responsible for developing and maintaining ADA (Analytical Data Architecture) solutions that support the Personal Bank Reporting teams. This role requires a strong technical foundation in data engineering, with a focus on building scalable, efficient data pipelines and enabling high-quality reporting and analytics.

The successful candidate will:

  • Apply critical thinking to solve complex data challenges, identify root causes, and propose innovative solutions that improve data quality and reporting outcomes.
  • Design, build, and optimise ETL processes and ADA data pipelines using SQL, Python, and the Databricks platform, ensuring robustness, scalability, and performance.
  • Develop and maintain data models that support reporting and analytics use cases, ensuring alignment with enterprise data architecture standards.
  • Work with large and complex data sets, ensuring data quality, consistency, and performance.
  • Collaborate with end users to gather requirements, explain data concepts, and deliver solutions that meet business needs.
  • Communicate effectively with stakeholders across PB Data analytics teams
  • Build strong relationships across teams to ensure alignment and shared understanding of data flows and reporting objectives.
  • Document data processes, definitions, and architecture to support transparency and maintainability.
  • Apply a detail-oriented approach to data validation, troubleshooting, and continuous improvement.

Preferred candidate profile

Key Capabilities and Skills

  • Advanced proficiency in SQL and Python for data engineering tasks.
  • Strong understanding of ETL frameworks, data modelling, and data architecture principles.
  • Hands-on experience with Databricks and cloud-based data platforms (e.g., Azure, AWS, GCP).
  • Ability to explain complex data concepts in simple terms to diverse audiences.
  • Excellent verbal and written communication skills.
  • Proven ability to work collaboratively across functions and build effective working relationships.
  • High attention to detail and commitment to data accuracy.
  • Strong analytical and critical thinking skills to assess data issues and propose effective solutions.

Qualifications and Experience

  • Bachelors degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 5+ years of experience in data engineering or a similar role.
  • Experience working in financial services or banking environments is advantageous.

Reachout to | to explore this opportunity.

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