Job Overview
LHH Recruitment Solutions is seeking a skilled Senior Data Engineer for a contract position. This role is fully remote and involves building a highly reliable, trustworthy data lakehouse that is leveraged across the organization to derive insights and make real-time decisions. You will be instrumental in driving new data projects, building reliable data pipelines, setting up strong monitoring and alerting systems, and building data solutions to support a diverse set of use cases.
Responsibilities
- Design and develop data pipelines using tools like Apache Airflow or by leveraging Snowflake's external tables functionality.
- Translate HiveQL queries to Snowflake SQL, ensuring compatibility and efficient data processing.
- Utilize DBT to model and transform data within Snowflake, adhering to best practices for data governance and maintainability.
- Configure and manage data pipelines in GCP to orchestrate data movement and processing tasks.
- Collaborate with data analysts and stakeholders to understand data requirements and ensure a successful migration outcome.
- Monitor and optimize data pipelines for performance and scalability.
- Develop and implement automated testing procedures to validate data quality and integrity after migration.
- Document the migration process and provide ongoing support for the migrated data warehouse on Snowflake.
Requirements
- Minimum 5+ years of experience as a Data Engineer with a proven track record of successful data warehouse/data lake implementation and management.
- Deep understanding of leveraging Snowflake to build highly performant and resilient data warehouse.
- Strong expertise in HiveQL, SQL, and experience with data warehousing/lake house concepts (dimensional modeling, data quality, etc.).
- Strong programming knowledge in python.
- Experience with Apache Spark for large-scale data processing (a plus).
- Proficiency in dbt for data modeling and transformation in Snowflake preferred.
- Experience working with Google Cloud Platform (GCP) and its data storage services (GCS, BigQuery - a plus).
- Excellent written and verbal communication skills with the ability to collaborate effectively with cross-functional teams.
- Strong problem-solving skills and a passion for building efficient and scalable data solutions.
- Snowflake certification preferred.
Preferred Qualifications
- Strong understanding of data architectures and patterns.
- Experience in DataOps implementation and support
- Experience in MLOps implementation and support.
- Experience in building and supporting AI/ML platform.
Benefits Extracted with AI
- 401(k)
- Commuter benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability
- EAP program
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