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Tier-1 employer, metro Bangalore, mid-level data engineer role with broad required skills yields high competition.
Snowflake, DBT, and AWS-focused data engineering expertise limits transferability across unrelated industries.
Mandatory SnowPro certification, explicit 5–8 years experience, and specific tech stack make shortlisting strict.
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Design, develop, and optimize data pipelines and data models in Snowflake with a focus on scalable, cost-effective solutions.
Implement and maintain DBT workflows and write efficient SQL queries to support data extraction, transformation, and reporting needs.
Collaborate with cross-functional teams to integrate multiple data sources and ensure data quality, governance, and automated deployment using CI/CD tools.
5-8 years of experience in data engineering or related roles.
Mandatory skills: Snowflake (with SnowPro Core certification), SQL, Python scripting, AWS services (Glue, Lambda, Step Functions).
Education: BE/B.Tech/ME/M.Tech/MBA/MCA with minimum 60% marks.
Experience with data orchestration tools like Apache Airflow and knowledge of CI/CD pipelines (e.g., Git, Jenkins, Azure DevOps).
Strong technical expertise and hands-on experience with Snowflake data warehousing and cloud-based ETL pipelines using AWS.
Proven ability to design efficient data models and automate workflows with an emphasis on performance optimization and cost control.
Experience working in collaborative data teams liaising with analysts and business stakeholders to translate requirements into data solutions.