Analyst II Data Engineering & Operations (R-15994)

• Design and develop data ingestion pipelines and data processing frameworks covering ETL/ELT processes at enterprise scale.
• Lead data quality and data profiling initiatives to ensure data quality improvements across all data assets.
• Optimize and scale existing data processes using cloud technologies, and data processing frameworks.
• Demonstrate functional expertise on B2B data related to company detailed financials, firmographics, compliances and other unstructured data
• Lead data acquisition processes, vendor management and ensure timely data ingestion

• Associate should have experience and expertise on data engineering processes including data architectures, data management and data quality
• Technology + Operations experience of 7+ years will be prefered
• Technical skills should include SQL, Python, PySpark, Spark, Spreadsheets and Business Intelligence Tools like Power BI.
• Should have experience working on Cloud Platforms - AWS and GCP along with experience in Databrick.
• Should have the ability to lead of team of data analysts, data engineers and data quality professionals
• Preferred to have B.E/ B. TECH/ Post Graduation/ Masters in a technical field.
• Highly customer-focused and result-oriented
• Strong Influencing and collaboration skills to leverage relationships across stakeholders to successfully drive results
• Highly articulate with excellent business communication (verbal and written) skills and presentation skills suitable for a global corporate environment
• Create an environment orientated to trust, open communication, creative thinking & cohesive team effort.

• Strong interpersonal and Presentation skills
• Excellent influencing and negotiation skills
• Good business acumen and sound market knowledge
• Ability to motivate and lead a team
• Initiative, drive and enthusiasm
• Good planning and organizational skills
• The ability to work calmly under pressure.

Dun & Bradstreet