Software Engineer III- Data Engineer

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Regular or Temporary :

Regular

Language Fluency :
English (Required)

Work Shift :

1st shift (United States of America)

Please review the following job description :

The Software Engineer III specializing in Data Engineering plays a pivotal role in designing developing and maintaining scalable data pipelines ETL (Extract Transform Load) processes and analytics solutions to support enterprise-wide data-driven decision-making. This position requires advanced expertise in data integration analytics and software development and involves close collaboration with cross-functional teams including data scientists business analysts and stakeholders to deliver impactful insights.

The role emphasizes innovation using platforms such as Informatica BDM AbInitio Snowflake and big data ecosystems like Hadoop while maintaining high standards for data quality security and compliance. The engineer advocates for agile methodologies CI / CD pipelines and automated testing to accelerate delivery and minimize risk. Responsibilities include leading and participating in the development testing implementation maintenance and support of complex solutions ensuring robust unit testing and support for release cycles.

The engineer also builds monitoring capabilities provides escalated production support and maintains security controls in line with company standards. Typically this role leads moderately complex projects and contributes to larger initiatives solving complex technical and operational challenges and serving as a resource for less experienced teammates.

Following is a summary of the essential functions for this job. Other duties may be performed both major and minor which are not mentioned below. Specific activities may change from time to time.

• Architect and implement robust ETL workflows using tools like Informatica Power Center AbInitio. Data mapping transformation logic error handling and performance optimization for high-volume data processing.
• Design and develop data pipelines in Snowflake for efficient data warehousing querying and analytics leveraging features such as Snowpark for custom processing and zero-copy cloning for cost-effective data sharing.
• Build and maintain distributed data processing systems on Hadoop ecosystems (e.g. Hive Spark HDFS) ensuring scalability fault tolerance and seamless integration with upstream and downstream systems.
• Develop advanced SQL queries stored procedures and optimizations for both relational and No
  
  SQL databases to support complex data extraction aggregation and reporting needs.
• Create interactive dashboards visualizations and reports in Power BI integrating multiple data sources to enable self-service analytics and real-time business intelligence.
• Perform data analytics tasks including exploratory data analysis statistical modeling and trend identification to derive actionable insights and support predictive analytics initiatives.
• Collaborate on full-stack development using framework (C#) for backend services and JavaScript (including frameworks like React or ) for frontend data visualization tools and user interfaces.
• Lead code reviews mentor junior engineers and contribute to technical design documents ensuring adherence to coding standards design patterns and security best practices (e.g. OWASP for web applications).
• Troubleshoot and resolve production issues in data pipelines and applications implementing monitoring alerting and logging using tools such as Splunk or Azure Monitor.
• Drive continuous improvement by adopting industry best practices including Dev Ops automation containerization (Docker / Kubernetes) and machine learning operations (MLOps) for data workflows.
• Participate in agile ceremonies sprint planning and stakeholder meetings to align technical solutions with business objectives and deliver value iteratively.

The requirements listed below are representative of the knowledge skill and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Degree and six to ten years of experience or equivalent education and software engineering training or experience

• Depth knowledge in information systems and ability to identify apply and implement best practices
• Understanding of key business processes and competitive strategies related to the IT function
• To plan and manage projects…