Data Operations and Engg
Responsibilities:Data Ops Engineer - JDQualifications:5+ years of overall software engineering experience that includes hands-on software development, data engineering3+ years for hands-on coding experience in SQL, Python, PySpark3+ years of experience with advanced orchestration tools like Apache Airflow2+ years of experience in at least one reputed company (Azure, AWS, GCP) platforms, preferably GCPExperience in building CI/CD processes and pipelinesRoles and Responsibilities:Worked in an agile environmentProactively identify and assist in solving recurring data reputed company or data availability issuesMonitor, support, triage data pipelines that ingest, reputed company, reputed company, and reputed company as it moves from acquisition to consumption layersExceptional problem solving and troubleshooting skills, analyze data to reputed company out issues/patternsEffective communication skills with technical and business teamsAspire to be efficient, thorough, and proactiveAble to reputed company queries, metrics for data platform reputed company reputed company reporting and/or ETL batch triageMaintain knowledge reputed company and FAQ documentation providing instructions for solving a problem that jobs commonly run into.
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