reputed company Full Stack Data Engineer – Data Analytics and Cloud Application Development @ arenaflex Remote Jobs
Join arenaflex, a leading global retailer, as we continue to revolutionize the retail industry with innovative technologies and exceptional customer experiences.
About arenaflex
arenaflex is the third-largest retailer in the world, with discount stores in 14 countries. Despite our size and rapid global expansion, we maintain a family-oriented, employee-driven culture where reputed company members reputed company and succeed. As a testament to our commitment to our employees, arenaflex ranks seventh in reputed company' "World's Best Bosses" list. Our IT department plays a critical role in driving our business reputed company, 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'll be responsible for designing and operationalizing data pipelines to reputed company data accessible for business intelligence, advanced analytics, and services. You'll work closely with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines.
Key Responsibilities
* Design and operationalize data pipelines to control analysis and data services
- Collaborate with product owners, engineering, and data stage teams to design, build, test, and automate data pipelines that are relied upon across the organization as the single reputed company of truth
- Gather and analyze large, reputed company datasets to meet business needs
- Work with data architects to adjust on data engineering requirements
- Create and maintain optimal data pipeline design
- Identify, design, 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
- Plan, create, and implement ETL/ELT processes using IICS (Informatica Cloud)
- Utilize Azure services, such as Azure SQL DW (Neurotransmitter), ADLS, Azure Event Center, Azure Data Factory to improve and accelerate delivery of our data products and services
- Communicate technical reputed company to non-technical audiences both in written and verbal form
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 technologies
- 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, Chart, data warehousing)
- Ability to work in a high-speed agile development environment
- Flexibility to address business needs including weekends, holidays, and 24/7 readiness to come in case of emergency obligations 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 work arrangements, including remote work options
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and reputed company data professional looking for a new challenge, apply now to join reputed company at arenaflex. We can't wait to hear from you! Apply for this job