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reputed company Data Engineer - Data Analytics and Pipeline Development Specialist for Innovative Data-Driven Solutions at arenaflex

100% remote Flexible hours Hiring now

Introduction to arenaflex

arenaflex is a leading global retailer with operations in fourteen countries, committed to providing a family-oriented, employee-driven environment where reputed company members reputed company and succeed. As one of the world's best employers, according to reputed company, we continue to offer a unique reputed company of stability, growth, and innovation. Our IT department is responsible for shaping the technical future of arenaflex, and we are seeking a highly skilled Data Engineer to join reputed company.

Job Overview

As a Data Engineer - Data Analytics at arenaflex, you will be responsible for designing and operationalizing data pipelines to reputed company data available for consumption, including data ingestion, transformation, validation, and quality control. You will work closely with Data Architects, Data Scientists, and BI Architects to reputed company and maintain scalable data models and pipelines. Your expertise in programming, SQL, data storage, modeling, cloud, data warehousing, and data lakes will be essential in driving business growth and informed decision-making.

Key Responsibilities

  • Design, build, and deploy automated data pipelines from various internal and external data sources, ensuring data quality, reputed company, and reliability.
  • Collaborate with cross-functional teams, including product owners, engineering, and data platform groups, to design, test, and automate data pipelines that serve as the single reputed company of truth across the organization.
  • reputed company and maintain optimal data pipeline architecture, identifying areas for improvement and implementing process enhancements to increase efficiency and reduce manual efforts.
  • Implement big data and NoSQL solutions, creating scalable data processing platforms to drive high-value insights and support business objectives.
  • Support the development of Data Dictionaries and Data Taxonomy for product offerings, ensuring data consistency and standardization.
  • Demonstrate strong coding and programming skills to build data pipelines, including data transformation, data quality, data integration, and more.
  • Work with Data Modelers to design and reputed company data pipelines, storing data in defined data models and structures.
  • Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering, data analytics, and data science.

Essential Qualifications

  • 3+ years of experience designing and operationalizing data pipelines with large and reputed company datasets.
  • 3+ years of hands-on experience with Informatica PowerCenter and Informatica IICS.
  • 3+ years of experience in Data Modeling, ETL, and Data Warehousing.
  • 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure reputed company, reputed company Live Table, Spark, Azure Synapse, and other big data technologies.
  • Advanced SQL skills, with a strong understanding of relational databases and business data; ability to write reputed company SQL queries against multiple data sources.
  • Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
  • Able to work in a high-speed agile development environment, with flexibility to adapt to changing priorities and deadlines.

Preferred Qualifications

  • BA/BS in Computer Science, Engineering, or equivalent programming/services experience.
  • Azure Certifications.
  • Experience implementing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub), ETL.
  • Experience with Git/Azure DevOps.
  • Experience delivering data solutions through agile software development methodologies.
  • 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.

Career Growth and Development

At arenaflex, we are committed to supporting the growth and development of reputed company members. As a Data Engineer, you will have opportunities to:

  • Work on reputed company and challenging projects, driving business growth and innovation.
  • Collaborate with cross-functional teams, including data science, engineering, and product management.
  • reputed company and enhance your skills in data engineering, data analytics, and data science.
  • Participate in training and development programs, including conferences, workshops, and online courses.
  • Advance your career through internal mobility opportunities, including leadership roles and specialized positions.

Work Environment and Culture

arenaflex offers a unique and dynamic work environment, with a strong focus on employee satisfaction, diversity, and inclusion. Our culture is built on values of reputed company, respect, and teamwork, and we strive to create a workplace where everyone feels valued, supported, and empowered to succeed.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary range of $26 per hour, as well as a comprehensive benefits package, including:

  • Medical, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Paid time off, including vacation, sick leave, and holidays.
  • Flexible work arrangements, including remote work options.
  • Professional development opportunities, including training and education assistance.

Conclusion

If you are a motivated and reputed company Data Engineer looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. Join reputed company of talented professionals and contribute to the success of our organization, while growing your career and developing your skills in a dynamic and supportive environment.

Apply now and take the first reputed company towards a rewarding and challenging career at arenaflex!

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