Back
Tier-1 brand, mid-level popular role, metro location and broad skillset increase applicant competition.
Core data engineering skills (SQL, Python, cloud, Spark) are broadly transferable across industries.
Explicit 5–7 years plus mandatory Snowflake, Databricks, Python, SQL and cloud requirements enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and manage scalable data pipelines and advanced data structures to support analytics, reporting, and downstream applications.
Optimize data ingestion frameworks, maintain data quality, governance, and lineage using platforms like Snowflake, Databricks, and cloud storage services.
Act as a technical resource by supporting junior engineers, improving data engineering tools and frameworks, and collaborating cross-functionally to enhance data processes.
5-7 years of experience in Data Engineering.
Proficient in advanced SQL query writing and optimization.
Strong programming skills in Python or similar languages.
Experience with at least one cloud platform (AWS, GCP, or Azure) and data platforms such as Snowflake or Databricks.
Experienced in building and optimizing cloud-based data solutions with focus on data quality, lineage, and automation.
Able to independently handle complex data engineering tasks and guide junior engineers.
Familiar with distributed computing frameworks (e.g., Apache Spark), workflow orchestration (e.g., Airflow, dbt), and CI/CD processes.