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.