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Cloud Data Engineer (Snowflake/Databricks) – Remote

LAK Technology Inc

IT Services and IT Consulting · 11-50 employees

8 h ago
Remote data-engineer Mid (2-5 yrs) Full-time
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About the role

Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.

What they look for

Snowflake Databricks SQL Python Spark ETL ELT Airflow Dbt AWS Azure GCP Data Modeling Git Kafka Data Governance

Requirements

Requires 4+ years of experience in data engineering with strong proficiency in SQL, Python, and cloud environments like AWS, Azure, or GCP. Candidates must have hands-on experience with Spark, ETL/ELT pipelines, and data modeling concepts.

Full description

This is a remote position.

We are seeking an experienced Cloud Data Engineer to design, build, and optimize modern data platforms using Snowflake and/or Data-bricks. This role focuses on developing scalable data pipelines, implementing reliable transformation workflows, and supporting advanced analytics across cloud environments.

You will work closely with analytics, BI, and engineering teams to ensure high-quality, performant, and secure data systems. The ideal candidate has strong SQL and Python skills and experience building production-grade data infrastructure in AWS, Azure, or GCP.

Key Responsibilities:

  • Design and build scalable data pipelines (ETL/ELT)
  • Develop and optimize transformations in Snowflake or Data-bricks
  • Implement data modeling strategies (star schema, lake-house, etc.)
  • Improve query performance and cost efficiency
  • Integrate orchestration tools (Airflow or similar)
  • Support analytics and reporting teams with reliable datasets
  • Ensure data quality, governance, and monitoring
  • Collaborate with cross-functional teams on data initiatives

Requirements

  • 4+ years of experience in Data Engineering
  • Strong SQL and Python skills
  • Hands-on experience with Snowflake and/or Databricks
  • Experience with Spark (batch and/or streaming)
  • Experience building ETL/ELT pipelines
  • Familiarity with orchestration tools (Airflow or similar)
  • Experience working in AWS, Azure, or GCP environments
  • Strong understanding of data modeling concepts

Preferred Qualifications:

  • Experience with dbt or similar transformation tools
  • Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub)
  • Experience implementing data quality frameworks
  • Knowledge of BI tools and downstream analytics use cases

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