| Azure Data Engineer only USC or GC Need only 15+year only at Remote, Remote, USA |
| Email: [email protected] |
| From: Badal kanojia, Stellentit [email protected] Reply to: [email protected] Azure Data Engineer Remote Phone + Skype JD: Non-negotiable skills: Snowflake Azure Cloud Data Vault We are seeking a skilled Senior Data Engineer to join our dynamic technical team that supports the Investment Management line of business. As a key member of our data warehousing initiative, you will play a crucial role in designing, building, and maintaining scalable data solutions that support our investment strategies. This is transformational work on an exciting team of passionate data professionals, some of the best you'll meet. The Contributions You'll Make 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. Minimum Experience and Knowledge 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. Solid understanding and implementation experience of data vault 2.0 methodology. Proficiency in programming languages such as SQL, Python, or Java 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 Knowledge and Experience Experience in the investment management industry or financial services sector. Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer). Keywords: Azure Data Engineer only USC or GC Need only 15+year only [email protected] |
| [email protected] View all |
| Fri Jul 19 01:48:00 UTC 2024 |