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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location plus broad skill requirements (Python, SQL, Airflow/Control-M) increase candidate competition.
Core skills (ETL, SQL, Airflow, Python) are highly transferable across industries.
Explicit 0-2 years plus mandatory tech stack and scheduling tool cause moderate resume filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Monitor and troubleshoot data loading processes in production to ensure data accuracy and timely issue resolution.
Develop and maintain automated scripts and tools for data extraction, loading, validation, and visualization.
Collaborate with development and engineering teams to implement integrations and maintain data pipeline quality in a 24x7 environment.
Minimum Requirements
0 to 2 years work experience in large data integration and data warehousing environments.
Experience as a DevOps engineer or in a similar software engineering role with proficiency in Python, Unix, SQL, Shell scripting.
Familiarity with Git, GitHub workflows, and job scheduling tools like Control-M or Airflow.
Location: Bangalore, India office; Bachelor’s degree in computer science, engineering, or relevant field preferred but not explicitly mandatory.
Ideal Candidate Profile
Experience working with diverse data sources including flat files, Excel, Access, Oracle, Hadoop, Azure, GCP, and AWS ecosystems.
Capable of performing root cause analysis and implementing preventive measures for recurring data issues.
Ability to operate effectively in a 24x7 production support environment with strong problem-solving and collaboration skills.