Senior Product Data Engineer

About the Role:

Take your software engineering career to the next level as a Senior Product Software Data Engineer. You will play a key role in designing, developing, and troubleshooting software programs. Your technical skills and innovative mindset will contribute to the continuous improvement of our products, making a significant impact on user experience and satisfaction.

Responsibilities:

• Collaborate with cross-functional teams to review use cases and translate business requirements into scalable data solutions.
• Design and develop highly optimized, reliable, and secure enterprise-level data pipelines for real-time and batch processing.
• Analyze existing business processes, identify gaps, and recommend data-driven improvements.
• Build modern real-time data solutions using Scala, Apache Spark, and Azure Databricks.
• Partner with data scientists and business stakeholders to operationalize machine learning models.
• Champion data governance, metadata management, and operational excellence across data platforms.
• Ensure data quality and integrity by developing validation frameworks and monitoring mechanisms.
• Adhere to coding standards, participate in peer code reviews, and contribute to technical documentation.
• Mentor junior engineers and contribute to knowledge sharing across the team.
  
  

Key Requirements:

• 7+ years of overall experience in data engineering or related fields.
• 5+ years of experience building data pipelines for structured and unstructured data.
• 2+ years of experience with big data technologies including PySpark, Hadoop, Kafka, EventHub, and Stream Analytics.
• 3+ years of experience in relational and dimensional data modeling using SQL Server and data warehousing concepts.
• 3+ years of experience with T-SQL, stored procedures, and performance tuning.
• 3+ years of experience with Azure Data Factory, Azure Data Lake, Azure SQL DB, and Azure Synapse Analytics.
• Good to have 2+ years of experience with Azure ML, Python, and Scala.
• Good to have 2+ years of experience with Power BI and Azure Analysis Services.
• Experience working with business stakeholders for requirements gathering and use case analysis.
• Strong communication, collaboration, and creative problem-solving skills.
  
  

Nice to Have:

• Bachelor's degree in computer science, Engineering, or equivalent practical experience.
• Experience with Agile/Scrum methodologies and DevOps practices.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Azure Data Engineer Certification or equivalent is a strong advantage.
  
  

Other Details:

This role is focused on delivering impactful data solutions that enhance product performance and requires a collaborative approach within a team environment. Flexibility in remote work options is available, as well as opportunities for professional growth.