SoftPixel Solutions - Senior Data Engineer - ETL Tools

Job Description

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, youll 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 companys 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 Bachelors or Masters 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. (ref:hirist.tech)