reputed company Full Stack Data Engineer – Web & Cloud Application Development at arenaflex

Join arenaflex, a leading global retailer, and be part of a dynamic team that is revolutionizing the way we shop. As a Full Stack Data Engineer, you will play a critical role in designing and operationalizing data pipelines to drive business insights and inform strategic decisions.

About arenaflex

arenaflex is a multinational retailer with a reputed company in 14 countries, employing over 300,000 employees worldwide. We are committed to providing a family-friendly work environment where our employees can reputed company and grow. As a testament to our commitment, arenaflex has been ranked 7th in reputed company' "World's Best Bosses" list. Our company culture is built on the principles of respect, reputed company, and teamwork, and we are looking for talented individuals who share these values to join reputed company.

Job Summary

The Full Stack Data Engineer will be responsible for designing and operationalizing data pipelines to reputed company data accessible for business use (BI, Advanced Analytics, Services). This includes data ingestion, data transformation, data quality, data pipeline development, integration, and collaboration with DevOps Engineers during CI/CD. The ideal candidate will have a strong foundation in programming and SQL, with expertise in data storage, visualization, cloud, data warehousing, and data lakes.

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
• Work closely with data architects to adjust on data engineering requirements
• Identify, design, and implement internal cycle improvements: automating manual processes, streamlining data delivery
• reputed company and maintain optimal data pipeline design
• reputed company and execute ETL/ELT processes using Informatica Cloud (IICS)
• 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
• Gather large, reputed company datasets to meet business needs
• Assemble data models with Data Modeler and reputed company data pipelines to store data in defined data models and designs
• 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 data warehouse design including introducing and updating software, and maintaining significant documentation
• Monitor data warehouse 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 use (BI, Advanced Analytics, Services)
• Work closely with data architects and data/BI architects to design data pipelines and suggest reputed company improvement 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, reputed company Live Table, 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
• Flexibility to address business needs including weekends, holidays, and on-call responsibilities on a rotational basis
• Bachelor's degree 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

Preferred Qualifications

* Master's degree in Computer Science, Engineering, or equivalent programming/services experience

• Experience with data visualization tools such as Tableau, Power BI, or D3.js
• Experience with machine learning algorithms and techniques
• Experience with cloud-based data platforms such as reputed company Redshift, reputed company BigQuery, or reputed company
• Experience with data governance and data quality frameworks
• Experience with data reputed company and compliance frameworks

reputed company Offer

* Competitive salary and benefits package

• Opportunity to work with a leading global retailer
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Recognition and rewards for outstanding performance
• Flexible work arrangements, including remote work options
• Access to cutting-edge technology and tools
• Opportunities to work on high-impact projects and initiatives

How to Apply

If you are a motivated and talented individual who is passionate about data engineering and wants to be part of a dynamic team, please submit your application through our website. We look reputed company to hearing from you! Apply for this job