Automation Test Engineer

4 - 9 years

4 - 8 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a skilled Technical Architect with 10-20 years of experience to lead our team in designing and implementing analytics platform solutions. The ideal candidate will have a strong background in data modeling, data warehousing, and business intelligence tools.

Roles and Responsibility
  • Design and architect data and BI solutions for complex enterprise BI/ETL/Data Warehouse projects.
  • Identify data sources and define data pipeline, segmentation, and performance engineering for scale.
  • Manage a team of Data Analysts/Data Engineers, assigning work and reviewing deliverables.
  • Develop business reports and dashboards using the latest data warehousing and BI tools.
  • Perform information management assessments and accurately estimate implementation efforts.
  • Coordinate with the Data Science department to identify future needs and requirements.
  • Lead and mentor other team members.
  • Experience working in a geographically distributed team.
Job Requirements
  • Minimum 10+ years of experience in complex enterprise BI/ETL/Data Warehouse projects.
  • Strong understanding of data modeling, data warehousing concepts, and various analytical data models.
  • Hands-on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS, etc.
  • Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS, etc.).
  • Advanced knowledge in Data warehouse dimensional modelling.
  • Good knowledge of Agile Scrum.
  • Excellent interpersonal and teamwork skills.
  • Knowledge of master data management and exposure to MDM tools.
  • Experience with at least one of the Data Quality technologies (i.e., Informatica Master Data Management, SAS data management, Talend Data Quality).
  • Solid experience in developing data governance practices at enterprise level - Meta data, data lineage, data classification, data security & data life cycle.
  • Understanding of predictive and prescriptive modelling.
  • Experience with Normalized data store, Operational data store, Dimension data store & Enterprise Data lake.
  • Good communication skills.

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