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Senior Data Engineer (Contract)

LHH

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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