Data Engineer (Snowflake / Databricks / BigQuery)
FyerX (company site, opens in a new tab)5–8 yrsRemoteDirect career pageEst. 12–22 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data ingestion pipelines and ELT/ETL transformation models for structured, semi-structured, and unstructured enterprise data.
- Architect and manage enterprise cloud data platforms (Snowflake, Databricks, BigQuery), optimizing schemas, query performance, and cost-efficiency.
- Implement automated data orchestration workflows and enforce strict data quality, validation, and compliance controls including security and access governance.
Minimum Requirements
- 4 to 8 years of database engineering or backend development experience; minimum 3 years dedicated data engineering on enterprise-scale infrastructure.
- Mandatory certification: Snowflake Core Data Engineer, Databricks Data Engineer Professional, or Google Cloud Professional Data Engineer.
- Strong expertise in SQL optimization, Python, relational/dimensional data modeling, and cloud storage systems.
- Experience with distributed computing, big data architectures, and cloud resource management pricing.
Ideal Candidate Profile
- Experienced in building and maintaining enterprise-grade cloud data platforms using Snowflake, Databricks, or BigQuery.
- Proficient in designing scalable, performant ELT/ETL pipelines and automating data workflows with tools like Apache Airflow or Prefect.
- Skilled in data governance including security, compliance, and cost optimization of cloud data environments.