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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bengaluru mid-level data engineer with common tech stack and broad hiring pool increases competition.
Core data engineering skills like Python, SQL, Airflow and AWS transfer easily across industries.
Explicit 2-5 years plus mandatory Python, SQL, AWS and Airflow create high filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable data pipelines supporting real-time and analytics processing, ensuring integration with downstream systems.
Implement data governance and quality controls to maintain data integrity throughout its lifecycle.
Collaborate on feature integration, optimize code to meet SLAs, participate in testing, and conduct code reviews to uphold quality standards.
Minimum Requirements
Bachelor’s Degree in Computer Science, Data Engineering, Data Science, or related field.
2-5 years of experience coding in Python and SQL in both production and non-production environments.
Experience working with cloud infrastructures/tools such as AWS, EC2, GitLab, and Airflow.
Work Experience Required: 2-5 years as explicitly mentioned.
Ideal Candidate Profile
Experienced in building and maintaining data pipelines with a focus on scalability and reliability in cloud environments.
Proficient in software development life cycle practices and performance optimization techniques applied to data engineering tasks.
Capable of collaborating across teams for integrating and validating new functionalities before production deployment.