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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, generalist Data Engineer in Bangalore at a known brand drives high applicant competition.
Core data engineering skills (Python, SQL, AWS) transfer easily across industries.
Explicit 2-5 year requirement plus mandatory Python, SQL, AWS and Airflow raises shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable data pipelines for analytics and real-time processing with integration to production systems.
Collaborate across teams to add functionalities and validate changes in lower test environments before production deployment.
Implement data governance, monitor data integrity, conduct code reviews, optimize code to meet SLAs, and proactively identify and fix bugs.
Minimum Requirements
2-5 years of experience coding in Python and SQL in production and non-production environments.
Experience with cloud infrastructure tools such as AWS, EC2, GitLab, and Airflow.
Bachelor’s Degree in Computer Science, Data Engineering, Data Science or related field.
Experience working within Software Development Life Cycle and applying software development best practices.
Ideal Candidate Profile
Proficient in building and maintaining robust, reliable data pipelines with performance optimization.
Experience collaborating with cross-functional teams to integrate new features and ensure production readiness.
Strong problem-solving skills with attention to detail and ability to analyze and recommend solutions based on experience and judgment.