Senior Data Engineer
3 weeks ago
We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining end-to-end data pipelines for new and existing data sources and targets. You will work closely with our data analysts and business stakeholders to understand their needs and develop solutions that meet their requirements.
Key Responsibilities:
Design and implement data models that balance performance, flexibility, and ease of use, considering both analytical and operational needs.
Enable and support self-service analytics by designing intuitive data models and views, collaborating with the Business Intelligence team to ensure data is easily accessible and interpretable for business partners.
Work with internal technical resources to optimize the data Lakehouse through hardware or software upgrades or enhancements.
Manage and automate the deployment of upgrades, patches, and new features across the data infrastructure, ensuring minimal disruption to data services and maintaining system integrity.
Requirements:
8+ years of experience in data engineering, with a strong focus on data pipelines, data warehousing, and business intelligence.
Advanced proficiency in Python and SQL, with experience in Java or Scala and familiarity with R for statistical computing.
Strong experience with at least one major cloud platform (AWS, Azure, or GCP), with understanding of cloud-native architectures and services.
Experience with modern data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery) and familiarity with data lake architectures and technologies (e.g., Delta Lake, Apache Hudi).
Proficiency in designing and implementing scalable data pipelines, with experience in ETL/ELT tools (e.g., Apache Airflow, AWS Glue, Databricks).
Strong knowledge of both relational (e.g., PostgreSQL, Oracle) and NoSQL (e.g., MongoDB, Cassandra) databases, with experience in database optimization and performance tuning.
Proficiency in dimensional modeling and data warehouse design, with experience in data modeling tools.
Familiarity with Git and GitHub/GitLab, with experience in CI/CD pipelines for data projects.
Familiarity with Docker and container orchestration (e.g., Kubernetes).
Understanding of data governance principles and practices, with knowledge of data security and privacy best practices.
Familiarity with MLOps practices and tools, with experience working in Agile environments (e.g., Scrum, Kanban).
Basic proficiency with data visualization tools (e.g., Power BI, Tableau).
What We Offer:
We offer a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Equal Opportunity Employer:
We welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact us.
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