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Remote nationwide posting, popular data engineer title, and metro Bengaluru location increase candidate competition.
Core data engineering skills are broadly transferable across industries despite some enterprise tool specifics.
Explicit 7+ years and multiple mandatory data engineering technologies make screening stringent.
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Lead design, development, and maintenance of backend data pipelines and ETL solutions using SQL, Python, AWS, Snowflake, and ETL tools like SAP BODS/Rule Point.
Develop and optimize scalable data processing workflows supporting analytics and downstream applications on cloud platforms with CI/CD automation.
Collaborate with cross-functional teams to translate requirements into technical tasks and troubleshoot data and performance issues in development and production environments.
7+ years of experience in software development focused on backend or data engineering.
Proficient with SQL, query optimization, performance tuning involving large datasets.
Hands-on experience with AWS, Snowflake, SQL, ETL tools like SAP BODS/Rule Points.
Bachelor's degree in a related field or equivalent professional experience.
Experienced in building scalable data engineering solutions using cloud (AWS) and modern data warehouse technologies (Snowflake).
Skilled in implementing and maintaining CI/CD pipelines for data engineering projects using tools like GitHub and Jenkins.
Comfortable working in Agile/Scrum environments with a focus on collaborative problem solving and technical mentorship.