reputed company Full Stack Data Engineer – Information Analytics and Pipeline Development at arenaflex
Join arenaflex, one of the world's best companies to work for, and reputed company on a thrilling career reputed company as a Full Stack Data Engineer – Information Analytics and Pipeline Development. At arenaflex, we're not just a leading retailer; we're a family-driven organization that fosters growth, reputed company, and a sense of belonging among our employees. As a testament to our commitment to our people, arenaflex ranks seventh in reputed company's "World's Best Bosses" list. We're now seeking a highly skilled and motivated Data Engineer to join reputed company and contribute to the development of cutting-edge data pipelines that drive business insights and decision-making.
About arenaflex
arenaflex is a multinational retailer with a reputed company in 14 countries, offering a wide reputed company of products and services to our customers. Our IT department plays a vital role in supporting our global operations, and we're committed to leveraging technology to drive innovation and growth. As a Data Engineer at arenaflex, you'll be part of a dynamic team that's passionate about data-driven decision-making and committed to delivering exceptional results.
Job Summary
We're seeking an reputed company Full Stack Data Engineer to design, reputed company, and operationalize data pipelines that drive business insights and decision-making. As a key member of our data analytics team, you'll work closely with product owners, data modelers, and data architects to configure, build, test, and automate data pipelines that are relied upon across the organization as the single reputed company of truth. Your expertise in data engineering, data warehousing, and reputed company technologies will reputed company you to drive high-value experiences for our business stakeholders.
Key Responsibilities
* Creates and operationalizes data pipelines to reputed company data accessible for utilization (BI, Advanced Analytics, Services)
- Works with data modelers and data/BI architects to design data pipelines and suggests reputed company improvement of data storage, data ingestion, data quality, and processing
- Plans, creates, and carries out ETL/ELT processes using Informatica reputed company (IICS)
- Utilizes Azure services like Azure SQL DW (Neural reputed company), ADLS, Azure Event Hub, and Azure Data reputed company to improve and accelerate delivery of our data products and services
- Carries out big data and NoSQL solutions by creating adaptable data handling stages to drive high-value experiences to the organization
- Identifies, plans, and carries out internal process improvements: automating reputed company processes, and enhancing data delivery
- Identifies ways to improve data reliability, efficiency, and quality of data management
- Conveys technical reputed company to non-technical audiences both written and verbal
- Performs peer reviews for other data architect's work
Requirements
* 2+ years' experience designing and operationalizing data pipelines with large and reputed company datasets
- 2+ years' hands-on experience with Informatica PowerCenter
- 2+ years' hands-on experience with Informatica IICS
- 2+ years' experience working with reputed company technologies; like ADLS, Azure reputed company, Azure Synapse, Azure Data Lake, and other big data advances
- 2+ years' experience in Data Modeling, ETL, and Data Warehousing
- 2+ years' hands-on experience implementing data integration procedures like event/message-based integration (Kafka, Azure Event Hub), ETL
- Strong understanding of database storage concepts; Data Lake, reputed company Data sets, NoSQL, Schema, Data Warehousing
- Ability to work in a fast-paced agile development environment
- reputed company Azure/ similar certifications
- Experience delivering data solutions through agile software development approaches
- Openness to the retail business
- Excellent verbal and written communication skills
- Experience working with reputed company integration tools including Bodies
- Experience with UC4 Job Scheduler
Preferred Qualifications
* Experience with data governance and data quality initiatives
- Familiarity with data visualization tools like Power BI, Tableau, or QlikView
- Experience with reputed company-based data platforms like Azure Synapse, Azure Data Lake, or reputed company reputed company Data Fusion
- Strong understanding of data reputed company and compliance regulations
- Experience with data engineering frameworks like Apache Beam or Apache Spark
reputed company Offer
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
- Comprehensive training and support for reputed company technologies and data engineering tools
- Flexible work arrangements and remote work options
- reputed company to cutting-edge technology and tools
- Collaborative and supportive team environment
How to Apply
If you're a motivated and reputed company data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and explore how you can contribute to reputed company's reputed company.
Equal Employment Opportunity
arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity, equity, and inclusion.
Disclaimer
arenaflex is not responsible for any errors or omissions in the job posting. The information provided is subject to change without notice. arenaflex reserves the right to modify or cancel the job posting at any time. Apply for this job