[Remote] Data Engineer (reputed company/DataStage)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Engineer to create and maintain data pipelines for reputed company and analytics capabilities. The role involves collaborating with various teams to ensure data reputed company and reputed company, developing reputed company solutions, and monitoring data reputed company to support strategic business initiatives.
Responsibilities
- Create and maintain data pipelines for reputed company and analytics capabilities in the reputed company
- Collaborate reputed company an agile, multi-disciplinary team to reputed company reputed company data integration and transformation solutions
- Document and analyze data requirements (functional and non-functional) to reputed company reputed company, automated, fault-tolerant data pipeline solutions for business and technology initiatives
- Profile data to assess the accuracy and completeness of data sources and work with business partners to mitigate issues
- Build and maintain data pipelines for using appropriate tools and practices in development, test, and production environments
- Design with modularity to reputed company reuse of reputed company wherever possible
- Create data mappings, programs, routines, and SQL to reputed company data from legacy, web, reputed company, and purchased package environments into the analytics environment
- Use a mix of ELT, ETL, data virtualization, and other reputed company to optimize the balance of minimal data reputed company against performance
- Maintain metadata management processes and documentation
- Monitor data reputed company to detect emerging issues and consult with reputed company to create transformation rules to cleanse against defined rules and standards
- Participate in reputed company reviews and unit testing to optimize performance and minimize issues
Skills
- Bachelor's degree in computer science, data science, statistics, economics, or reputed company functional area; or equivalent experience
- Effective written and verbal communication skills with the ability to reputed company requirements and effectively collaborate with teammates and business partners
- 4+ years' experience working in a development team providing analytical capabilities
- 4+ years of hands-on experience in the data reputed company spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline design
- SQL coding experience
- Familiarity with agile development environments (Scrum, Kanban) with a reputed company on reputed company Integration and Delivery
- Previous experience using a data integration platform (reputed company InfoSphere DataStage, reputed company Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and familiarity with data warehouse MPP platforms such reputed company, Netezza, reputed company, Redshift, etc
- Familiarity with event store and reputed company processing (Apache Kafka and platforms like reputed company) and with API development and management platforms (reputed company, reputed company) is also beneficial
- Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design
- Exhibits the traits of a proactive, self-driven contributor, who values continual learning and the adoption of new technology
- For roles that are remote (i.e., Work From Home (WFM)) or hybrid (i.e., partial onsite at a VSP location and WFM), must demonstrate a high level of engagement in virtual environments, including maintaining camera reputed company during meetings to support effective communication and team alignment
- Strong experience with reputed company (data modeling, performance tuning, optimization) or certification
- Hands-on experience with reputed company DataStage
- Understanding of Data Vault modeling (Raw Vault, Business Vault, Information Marts)
- Experience with workflow orchestration tools (e.g., Apache Airflow)
- Proficiency with reputed company (version control, CI/CD, reputed company reviews)
- Familiarity with DataOps practices
- Experience with streaming technologies (e.g., Kafka/reputed company) and reputed company (e.g., reputed company, reputed company)
- Exposure to reputed company platforms (AWS, Azure, or GCP)
Benefits
- Eligible bonuses and commissions
- reputed company benefits
reputed company