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Azure/Snowflake Data Warehouse Engineer

2 months ago

Danbury, Connecticut, United States Voya Financial Full time
About the Opportunity

We are seeking a skilled Senior Cloud-Based Data Engineer to join our dynamic technical team that supports the Investment Management line of business and the transformation initiatives currently underway. As a key member of our cloud data warehousing initiative, you will play a crucial role in designing, building, and maintaining scalable data solutions that support our enterprise investment strategies.

Key Responsibilities
  • Develop and optimize data pipelines for our cloud-based data warehouse using Azure Cloud services.
  • Design and implement efficient ETL processes to ingest, transform, and load data into our Snowflake-based data warehouse.
  • Collaborate with data architects and analysts to design and implement data models that meet the business requirements.
  • Implement and maintain data vault 2.0 methodologies to ensure data integrity, scalability, and flexibility in our warehouse architecture.
  • Continuously monitor and optimize the performance of data pipelines and warehouse operations.
  • Work closely with business stakeholders to understand data requirements and translate them into technical solutions.
  • Lead efforts to enhance data quality and governance across the organization.
  • Work with our businesses and product owners to develop the next generation Investment Management data platform.
Requirements
  • Solid understanding and implementation experience of data vault 2.0 methodology.
  • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
  • Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling.
  • Strong proficiency in cloud-based data technologies, particularly Azure Cloud services e.g. Azure Data Factory, Azure Data Lake Storage Gen2. (AWS comparable tech OK)
  • Extensive hands-on experience with Snowflake or similar cloud-based data warehousing platforms.
  • Experience with Data warehouse automation tools
  • Proficiency in programming languages such as SQL, Python, for data manipulation and automation.
  • Experience with data governance frameworks and best practices.
  • Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Qualifications
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Experience in the investment management industry or financial services sector would be beneficial. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer) is preferred.
What We Offer
  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan – with generous company matching contributions (up to 6%)
  • Voya Retirement Plan – employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time — 40 hours per calendar year
Critical Skills
  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.