Azure/Snowflake Data Warehouse Engineer
1 week ago
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.
- 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.
- 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.
- Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
- Experience in the investment management industry or financial services sector.
- Certifications related to cloud platforms (Azure, AWS) or data engineering.
- Competitive salary range: $97,160 - $152,880 USD.
- Comprehensive benefits package, including health, dental, vision, and life insurance.
- 401(k) Savings plan with generous company matching contributions.
- 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.
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