IN_Senior Associate_Snowflake Senior Data Engineer_GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong PwC brand, Bangalore metro, and mid-level seniority increase competition; Snowflake specialization reduces applicant pool.
Skills like Snowflake, Python, and AWS are highly transferable across industries.
Mandatory 5–8 years experience and SnowPro certification create strict screening filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and optimize data pipelines and data models in Snowflake using AWS services such as Glue, Lambda, Step Functions.
Implement and maintain DBT workflows and orchestrate data workflows using Apache Airflow or similar tools to ensure data quality and governance.
Collaborate with cross-functional teams including data analysts and business stakeholders to meet data requirements and automate deployment/testing of data workflows with CI/CD tools.
Minimum Requirements
5-8 years of work experience in data engineering or related roles.
Mandatory Snowflake SnowPro Core certification.
Strong skills in Snowflake, SQL, Data Modelling, Python, and AWS services (Glue, Lambda, Step Functions).
Bachelor's degree in Engineering (B.Tech) or equivalent.
Ideal Candidate Profile
Experienced with cloud-based data engineering, particularly AWS and Snowflake environments, handling scalable ETL/ELT pipelines.
Proficient in managing and optimizing modern data orchestration tools like Apache Airflow and CI/CD pipelines for automation.
Capable of working cross-functionally with data analysts, scientists, and business teams to deliver robust data solutions and ensure performance and cost optimization.