Senior Data Warehousing Engineer
4 weeks ago
About the Role :
We are seeking a highly skilled and motivated Senior Data Warehouse Engineer to join our growing team. In this critical role, you will play a key part in designing, developing, and maintaining our data warehouse infrastructure.
You will be responsible for building and optimizing data pipelines, ensuring data quality and integrity, and supporting data-driven decision-making across the organization.
Responsibilities :
- Design, develop, and implement robust and scalable ETL/ELT pipelines using industry-best practices.
- Leverage Salesforce Data Cloud to build and enhance data solutions, including data modeling, segmentation, and orchestration.
- Translate complex business requirements into effective data models (conceptual, logical, and physical) within the Data Cloud ecosystem.
- Collaborate with cross-functional teams (i.e., business analysts, data scientists, engineers) to understand data needs and translate them into technical solutions.
- Actively participate in data quality initiatives, including data profiling, cleansing, and validation.
- Contribute to the continuous improvement of data architecture and infrastructure.
- Troubleshoot and resolve data-related issues promptly and effectively.
- Stay abreast of the latest advancements in data warehousing, data engineering, and cloud technologies.
Qualifications :
- 6+ years of experience in data management and engineering.
- Proven experience with Salesforce Data Cloud, including data modeling, integration, and orchestration.
- Strong proficiency in SQL (Oracle or SQL Server).
- Experience with ETL/ELT tools and methodologies.
- Experience with cloud platforms (i.e., Marketo, Azure) and relational databases.
- Familiarity with data warehousing concepts and best practices.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
Bonus Points :
- Experience with Informatica products.
- Experience with Unix shell scripting, Python, and other scripting languages.
- Experience with data warehousing solutions such as Jupyter Notebooks, Databricks, ADLS Gen 2, and SQL Datawarehouse.
- Experience with data visualization and reporting tools
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