Senior Data Engineer

2 days ago

Navi Mumbai, Maharashtra, India SoftPixel Solutions Pvt. Ltd. Full time ₹ 12,00,000 - ₹ 30,00,000 per year

Job Title: Senior Data Engineer – Commerce Platform | Data Architecture & Integration

Job Summary:

We are looking for an experienced Senior Data Engineer (12–15 years) to design, develop, and optimize data solutions that power insights and analytics across our commerce ecosystem. You will play a key role in building scalable data platforms, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization.

As a senior member of the team, you'll help shape our data architecture strategy, mentor other engineers, and work closely with business, analytics, and technology teams to deliver high-impact data initiatives that enable smarter decision-making and personalized customer experiences.

Key Responsibilities:

  • Data Engineering & Development
  • Design and build robust, reusable, and scalable data pipelines for ingesting, transforming, and
  • delivering data from multiple commerce systems (e.g., product, customer, order, marketing,
  • payments).
  • Develop and maintain data models and data warehouses that support reporting, analytics, and
  • machine learning needs.
  • Create efficient ETL/ELT workflows using modern tools and cloud services.
  • Ensure high standards for data quality, integrity, and governance across systems and platforms.
  • Implement automation, testing, and monitoring for data flows to ensure reliability and performance.
  • Architecture & Strategy
  • Contribute to the design and evolution of the company's data architecture, including integration
  • between operational systems, cloud data stores, and analytics platforms.
  • Define and enforce best practices in data modeling, storage, and performance optimization.
  • Collaborate with software engineering, product, and analytics teams to ensure data systems align
  • with overall business and technology strategy.
  • Collaboration & Leadership
  • Partner with data analysts, scientists, and business teams to understand data requirements and
  • deliver trusted, well-structured datasets.
  • Mentor and guide junior and mid-level engineers in data engineering principles and development
  • practices.
  • Participate in sprint planning, code reviews, and design discussions.
  • Drive continuous improvement in data engineering processes, tools, and technologies.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 12–15 years of experience in Data Engineering, Database Development, or ETL Architecture roles.
  • Strong hands-on experience with SQL and data modeling for both transactional and analytical
  • systems.
  • Proven experience designing and developing data pipelines using ETL/ELT tools (e.g., Informatica,
  • Talend, dbt, Matillion, Azure Data Factory, AWS Glue, or similar).
  • Solid understanding of data warehousing concepts and experience with cloud platforms (AWS, Azure, or GCP).
  • Strong programming experience in Python, Java, or Scala for data integration and automation tasks.
  • Deep understanding of data architecture, data governance, and metadata management principles.
  • Excellent communication skills and ability to work across technical and non-technical teams.

Preferred Qualifications:

  • Experience with commerce or retail data (customer, order, catalog, pricing, promotions).
  • Exposure to API-based data integration, streaming data sources, or real-time analytics.
  • Knowledge of business intelligence tools (Power BI, Tableau, Looker, etc.) and data modeling for
  • analytics.
  • Familiarity with data privacy, security, and compliance frameworks (GDPR, CCPA).
  • Experience mentoring teams and contributing to enterprise-level data strategy.

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