Key Responsibilities:

- Execute a comprehensive data processing monitoring strategy which aligns with the organization's Data Processing Standards and business objectives.
- Provide guidance and mentorship to junior data processing engineers, fostering their growth and development.
- Develop a solid understanding of Dun & Bradstreets inventory data.
- Perform baseline data processing monitoring to proactively identify data issues.
- Employ advanced data analysis and profiling techniques.
- Automate data processing monitoring solutions and internal processes.
- Create or update data models to ensure that data is stored in an organized structure.
- Utilize Power BI and/or Looker to design, create, connect and administer dashboards which derive insights from data processing monitoring results.
- Design and implement a robust data validation and processing framework with automated testing processes.
- Communicate with the globally distributed stakeholders using JIRA and Confluence.
- Capture requirements accurately and seek strong understanding of use cases.
- Recommend improvements to data processing team’s internal processes.
- Generate regular reports on data processing metrics.
- Review data to identify patterns or trends that may indicate errors in processing.
- Develop comprehensive documentation of data processing processes, procedures, and findings, and ensure junior members document their work.
- Comply with and enforce data governance policies and procedures.
- Remain an expert in industry best practices and technologies related to data processing.

Required Traits Include:





- Bachelor's degree in Business Analytics, Computer Science, Information Technology, or a related field.
- 5+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modelling, and the software development life cycle.
- Expertise in SQL (preferably BigQuery).
- Agile mindset and deep understanding of agile project management (Scrum/Kanban).
- Experience in Database design, modelling, and best practices.
- Experience with cloud computing technologies (preferably GCP).
- Experience with Power BI, Looker, or similar data visualisation tool.
- Ability to mentor & provide guidance to less experienced members of the team.
- Analytical, process improvement and problem-solving skills.
- Strong communication and the ability to articulate data issues and solutions.
- Commitment to meet deadlines and uphold the release schedule and guide junior team members’ efforts to ensure the same.
- Experience collaborating across time zones as part of a global team.

Valuable Traits Include:

- Skill in Python and/or Scala for data wrangling and data analysis.
- Experience with DevOps best practices including CI/CD, automation, monitoring, observability, agile project management, version control, and continuous feedback.
- Experience with data observability tools such as Acceldata or Informatica DQ.
- Experience with XML and JSON data structures.
- Understanding of ETL processes and their impact on data processing.
- Knowledge of Machine Learning, specifically anomaly detection.

📌 Lead Data Engineer (Hyderabad)
🏢 Dun & Bradstreet
📍 Hyderabad