Data Engineer

Job Title: Senior Data Engineer / Reporting Data Engineer

Experience:

Location: Pune

reporting pipelines and reporting operations

Key Responsibilities

Pipeline Build & Technical Ownership

• Design, build, and maintain

  recurring reporting pipelines

  using

  Databricks and Tableau

• Own end-to-end reporting pipeline development with a focus on

  scalability, reliability, and performance

• Independently validate data using

  advanced SQL

  , perform root-cause analysis, and drive QA
• Debug complex data issues across multiple layers (source → transformation → reporting)
• Work closely with Data Engineering teams but operate independently for day-to-day problem solving
• Develop and optimize data transformations using

  PySpark and SQL

Reporting Operations Ownership

• Define and implement a clear

  Reporting Ops strategy

  , including:
• Automation vs. manual processes
• Mandatory data controls and validation checks
• Monitoring, alerting, and failure handling mechanisms
• Ownership, access controls, and governance models
• Establish and enforce

  reporting standards

  (naming conventions, versioning, documentation, refresh SLAs)
• Design reporting solutions assuming

  scale, frequent change, and imperfect upstream data

• Ensure reporting pipelines are production-ready and operationally stable from day one

Execution & Ownership

• Independently set up

  reporting operations

  , including:
• SOPs and run-books
• Validation and reconciliation checklists
• Escalation paths and incident management processes
• Own

  post–go-live stability

  , issue triage, and continuous improvement
• Proactively identify operational risks and drive resolutions before issues surface
• Balance fast delivery with long-term operational robustness and maintainability

Required Skills & Qualifications

• 6+ years of experience in Data Engineering, Reporting Engineering, or Analytics Engineering
• Strong expertise in

  SQL

  (advanced querying, debugging, data validation)
• Proficient in

  PySpark

  and

  Databricks

• Hands-on experience with

  Tableau

  reporting pipelines
• Strong understanding of data pipeline architecture and reporting systems
• Experience designing scalable, reliable, and production-grade data solutions
• Ability to work independently with high ownership and accountability

Preferred Qualifications

• Experience in enterprise-scale reporting environments
• Familiarity with data quality frameworks and monitoring tools
• Experience working with imperfect or evolving upstream data sources
• Strong documentation and process-design skills

Key Attributes

• Ownership mindset with strong problem-solving skills
• Operationally driven with a focus on long-term stability
• Proactive, detail-oriented, and execution-focused
• Strong communication and stakeholder management skills