Analyst II Data Engineering & Operations (R-15994)
Mumbai - India
Dun & Bradstreet
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.
* 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
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