Analyst II Data Engineering & Operations (R-15994)

Mumbai - India

Dun & Bradstreet

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Designation: Analyst Data Engineering & Operations Location: Navi Mumbai (Turbhe) Business Unit: Cognitive Data Operations (CDO)

Key Responsibility

  • 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

Key Requirements

  • 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.

Competencies

  • 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Business Intelligence Data management DataOps Data quality ELT Engineering ETL GCP Pipelines Power BI PySpark Python R Spark SQL Unstructured data

Region: Asia/Pacific
Country: India
Job stats:  1  0  0

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