**Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark**

Are you a highly skilled and motivated Data Engineer looking to join a dynamic team at blithequark? Do you have a passion for designing and operationalizing data pipelines to drive business insights and decision-making? If so, we encourage you to apply for this exciting opportunity to join our team of experts in data analytics and engineering. **About blithequark** blithequark is a leading global retailer with a commitment to providing a family-friendly work environment where our employees can thrive and succeed. As a testament to our success, blithequark has been ranked as one of the "World's Best Bosses" by Forbes. Our IT department plays a critical role in supporting the growth and expansion of our business, and we are seeking a talented Data Engineer to join our team. **Job Summary** As a Data Engineer at blithequark, you will be responsible for designing and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services. You will work closely with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines. Your expertise in programming, SQL, data storage, and cloud technologies will enable you to build and deploy automated data pipelines from various internal and external data sources. **Key Responsibilities** * Design and operationalize data pipelines to make data accessible for business intelligence, advanced analytics, and services * Collaborate with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines * Develop and maintain ideal data pipeline design * Identify, plan, and implement process improvements: automating manual processes, streamlining data delivery * Build and deploy large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization * Support the development of Data Dictionaries and Data Science 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 * Lead ad-hoc data recovery for business reports and dashboards * Review the integrity of data from various sources * Manage database design including introducing and updating software, and maintaining significant documentation * Monitor database movement and resource utilization * Perform peer review for another Data Engineer's work * Create and operationalize data pipelines to make data accessible for utilization (BI, Advanced Analytics, Services) * Collaborate with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization * Plan, develop, 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 ideas to non-technical audiences both in written and verbal form **Requirements** * 3+ years of experience designing and operationalizing data pipelines with large and complex 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 Databricks, Databricks Live Table, Flash, Azure Neural Network, Universe DB, and other big data technologies * Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML) * High-level SQL skills. Strong understanding of social databases and business intelligence; ability to write complex SQL queries against various data sources * Strong understanding of database storage concepts (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 24/7 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 SAP integration tools including Bodies * Experience with UC4 Job Scheduler **What We 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 experienced Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job