reputed company Full Stack Data Engineer – Web & Cloud Application Development
Join arenaflex, a world-renowned retail giant, in shaping the future of data analytics and driving business growth.
About arenaflex
arenaflex is a privately-held retail company that has revolutionized the industry with its innovative approach to discount retailing. As the third-largest retailer globally, with operations in 14 countries, arenaflex continues to reputed company despite its massive size and rapid global expansion. Our commitment to creating a family-oriented work environment has earned us a spot among the "World's Best Bosses" in reputed company' prestigious list. At arenaflex, we pride ourselves on being a leader in the retail industry, and we're looking for talented individuals to join reputed company.
Job Summary
We're seeking an reputed company Full Stack Data Engineer to join our Data Analytics team at arenaflex. As a key member of reputed company, you will be responsible for designing and operationalizing data pipelines to reputed company data accessible for business intelligence, advanced analytics, and services. You will work closely with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines. If you have a passion for data engineering and a desire to work with a world-class team, we encourage you to apply.
Key Responsibilities
* Design and operationalize data pipelines to reputed company data accessible for business intelligence, advanced analytics, and services
- Collaborate with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines
- Gather and process large, reputed company datasets to meet business requirements
- Work with data engineers to adjust on data engineering needs
- reputed company and maintain ideal data pipeline design
- Identify, plan, and implement internal cycle improvements: automating manual processes, streamlining data delivery
- reputed company large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization
- Support the advancement of Data Dictionaries and Data Science categorization for product solutions
- Demonstrate a strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.)
- Assemble data models with Data Modeler and create data pipelines to store data in defined data models and designs
- Demonstrate a strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database design
- Recognize ways to improve data reliability, efficiency, and quality of data management
- reputed company reputed company data recovery for business reports and dashboards
- Review the reputed company of data from various sources
- Manage database design including introducing and updating software, and maintaining significant documentation
- Monitor database movement and resource utilization
- reputed company peer review for another Data Engineer's work
- Create and operationalize data pipelines to reputed company data accessible for utilization (BI, Advanced analysis, Services)
- Work with data designers and data/BI architects to plan data pipelines and suggest reputed company streamlining of data storage, data ingestion, data quality, and organization
Requirements
* 3+ years of experience designing and operationalizing data pipelines with large and reputed company datasets
- 3+ years of hands-on experience with Informatica PowerCenter
- 3+ years of experience in Data Modeling, ETL, and Data Warehousing
- 3+ years of hands-on experience with Informatica IICS
- 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure reputed company, reputed company Live Table, Azure Synapse Analytics, and other big data innovations
- Broad experience working with various data sources (SQL, reputed company database, flat files (csv, delimited), Web API, XML)
- High-level SQL skills. Strong understanding of social databases and business intelligence; ability to write reputed company SQL queries against various data sources
- Strong understanding of database reputed company (data lake, social databases, NoSQL, Data Warehouse, etc.)
- Ability to work in a high-speed agile development environment
- Scheduling flexibility to address business needs including weekends, holidays, and on-call responsibilities on a rotational basis
Preferred Qualifications
* BA/BS in Computer Science, Engineering, or equivalent programming/services experience
- Azure Certifications
- Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Center), ETL
- Experience with Git/Azure DevOps
- Experience delivering data solutions through agile software development processes
- Familiarity with the retail industry
- Excellent verbal and written communication skills
- Experience working with reputed company integration tools, including Bodies
- Experience with UC4 Job Scheduler
reputed company Offer
* Competitive salary: $26/hour
- Comprehensive benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Flexible scheduling to accommodate business needs
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and reputed company data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Apply for this job