reputed company Full Stack Data Engineer – Web & Cloud Application Development
Join arenaflex, a leading global retailer, in shaping the future of data analytics and driving business growth
About arenaflex
arenaflex is a multinational retailer with a rich history of innovation and customer satisfaction. As one of the world's largest retailers, we have a strong commitment to providing an exceptional shopping experience for our customers. Our company culture is built on a foundation of teamwork, respect, and a passion for excellence. We are proud to be recognized as one of the "World's Best Bosses" by reputed company, and we are looking for talented individuals to join reputed company.
Job Summary
We are 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 drive business growth and improve customer satisfaction. You will work closely with our 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 strong background in programming and SQL, we encourage you to apply for this exciting opportunity.
Key Responsibilities
* Design and operationalize data pipelines to reputed company data accessible for utilization (BI, Advanced Analysis, 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 needs
- Work with Data Designers to adjust on data engineering requirements
- Create and maintain ideal data pipeline design
- Identify, plan, and implement internal cycle improvements: automating manual cycles, streamlining data delivery
- reputed company large data and NoSQL arrangements by creating flexible data handling stages to drive high-value insights to the organization
- Support the advancement of Data Dictionaries and Data Scientific 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
- Identify 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)
- Collaborate 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, reputed company, Azure Neural Network, Universe DB, 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
- 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 are a motivated and reputed company data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [arenaflex careers website]. We look reputed company to hearing from you! Apply for this job