
Senior Data Engineer
2 weeks ago
Join to apply for the Senior Data Engineer role at TenX
Senior Talent Acquisition Executive @ TenX | 360° HR Resource | Scouting Talent | C-level Recruitment | Your hiring PartnerJOB SUMMARY:
Data Engineers are responsible for designing and creating the data warehouse and all related extraction, transformation, and load of data functions. They should be able to analyze and understand what a business aims to achieve with its data and design the best possible ETL/BI processes around those goals.
DESCRIPTION:
Data Warehouse / ETL- Participate in developing Data Models and Data Marts from various source systems.
- Develop and maintain ETL scripts that acquire data from source systems to load into the Staging Area, Data Warehouse, and Data Marts, based on data flow designs.
- Identify and develop opportunities to utilize objects and code to reduce development effort and enforce consistent business rules.
- Identify opportunities for analysis and reporting solutions within the company.
- Participate in evaluating and selecting Data Modeling, BI, and DW tools.
- Translate business requirements into technical Data Models and Data Marts.
- Understand key business drivers.
- Contribute to the overall development of the BI strategy within the company.
- Provide input and feedback on the BI strategy vision.
- Communicate BI concepts and strategy to business users.
- Document all development work according to company standards.
- Support team members in a collaborative environment.
- Assist in establishing standards and processes for BI data modeling.
- Communicate task status, progress, and issues to the project lead.
- Bachelor's degree in computer science, BIT, BBIT, or a related field; a master's degree is preferred.
- 3-4 years of experience in data engineering or related fields with exposure to Big Data methodologies.
- Strong knowledge of RDBMS and SQL.
- Familiarity with ETL tools like Talend, Informatica, SSIS, or IBM Infosphere DataStage.
- Experience with Big Data technologies such as Hadoop, Cloudera, or Talend for Big Data is preferred.
- Mid-Senior level
- Full-time
- Consulting, Engineering, and Information Technology
- IT Services and IT Consulting, Data Infrastructure and Analytics, and IT System Data Services
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