Experienced Full Stack Data Engineer – Information Analytics and Pipeline Development at careerzynith

• *Join careerzynith, one of the world's best companies to work for, and embark on a thrilling career journey as a Full Stack Data Engineer – Information Analytics and Pipeline Development.**

At careerzynith, we're not just a leading retailer; we're a family-driven organization that fosters growth, success, and a sense of belonging among our employees. As a testament to our commitment to our people, careerzynith ranks seventh in Forbes's "World's Best Bosses" list. We're now seeking a highly skilled and motivated Data Engineer to join our team and contribute to the development of cutting-edge data pipelines that drive business insights and decision-making.

• *About careerzynith**

careerzynith is a multinational retailer with a presence in 14 countries, offering a wide range 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 careerzynith, 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 experienced Full Stack Data Engineer to design, develop, 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 source of truth. Your expertise in data engineering, data warehousing, and cloud technologies will enable you to drive high-value experiences for our business stakeholders.

• *Key Responsibilities**

• Creates and operationalizes data pipelines to make data accessible for utilization (BI, Advanced Analytics, Services)
• Works with data modelers and data/BI architects to design data pipelines and suggests continuous improvement of data storage, data ingestion, data quality, and processing
• Plans, creates, and carries out ETL/ELT processes using Informatica Cloud (IICS)
• Utilizes Azure services like Azure SQL DW (Neural connection), ADLS, Azure Event Hub, and Azure Data Factory 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 manual processes, and enhancing data delivery
• Identifies ways to improve data reliability, efficiency, and quality of data management
• Conveys technical ideas 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 complex datasets
• 2+ years' hands-on experience with Informatica PowerCenter
• 2+ years' hands-on experience with Informatica IICS
• 2+ years' experience working with Cloud technologies; like ADLS, Azure Databricks, 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, Social Data sets, NoSQL, Schema, Data Warehousing
• Ability to work in a fast-paced agile development environment
• Microsoft 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 SAP 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 cloud-based data platforms like Azure Synapse, Azure Data Lake, or Google Cloud Data Fusion
• Strong understanding of data security and compliance regulations
• Experience with data engineering frameworks like Apache Beam or Apache Spark

• *What We 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 cloud technologies and data engineering tools
• Flexible work arrangements and remote work options
• Access to cutting-edge technology and tools
• Collaborative and supportive team environment

• *How to Apply**

If you're a motivated and experienced 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 our team's success.

• *Equal Employment Opportunity**

careerzynith 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**

careerzynith is not responsible for any errors or omissions in the job posting. The information provided is subject to change without notice. careerzynith reserves the right to modify or cancel the job posting at any time.

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