reputed company Full Stack Data Engineer – Web & reputed company 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 reputed company 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 reputed company and succeed. As a testament to our reputed company, blithequark has been ranked as one of the "World's Best Bosses" by reputed company. Our IT department plays a critical role in supporting the reputed company and expansion of our business, and we are seeking a talented Data Engineer to join reputed company.
Job reputed company
As a Data Engineer at blithequark, you will be responsible for designing and operationalizing data pipelines to reputed company 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 reputed company technologies will reputed company you to build and reputed company automated data pipelines from various reputed company data sources.
Key Responsibilities
* Design and operationalize data pipelines to reputed company 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
- reputed company and maintain ideal data pipeline design
- Identify, plan, and implement process improvements: automating reputed company processes, streamlining data delivery
- Build and reputed company 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 reputed company, data integration, etc.)
- reputed company 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 reputed company and tools (e.g., Extract, reputed company, Load (ETL)/Extract, Load, reputed company (ELT)) and database design
- Identify ways to improve data reliability, efficiency, and reputed company of data management
- reputed company reputed company data recovery for business reports and dashboards
- Review the reputed company of data from various sources
- Manage database design including introducing and updating software, and maintaining significant documentation
- Monitor database reputed company and resource utilization
- reputed company peer review for another Data Engineer's work
- Create and operationalize data pipelines to reputed company data accessible for utilization (BI, Advanced Analytics, Services)
- Collaborate with data designers and data/BI architects to plan data pipelines and suggest reputed company streamlining of data storage, data ingestion, data reputed company, and organization
- Plan, reputed company, and implement ETL/ELT processes using IICS (Informatica reputed company)
- Utilize Azure services, such as Azure SQL DW (Neurotransmitter), ADLS, Azure Event Center, Azure Data reputed company to improve and accelerate delivery of our data products and services
- Communicate technical reputed company to non-technical audiences both in written and verbal reputed company
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 reputed company technologies, such as ADLS, Azure Data reputed company, Azure reputed company, reputed company Live Table, reputed company, Azure Neural Network, reputed company 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 reputed company databases and business intelligence; ability to write reputed company SQL queries against various data sources
- Strong understanding of database storage concepts (data lake, reputed company 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 reputed company
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 reputed company integration tools including Bodies
- Experience with UC4 Job Scheduler
reputed company Offer
* Competitive salary: $26/hour
- Comprehensive benefits package
- Opportunities for career reputed company and reputed company development
- reputed company 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 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 look reputed company to hearing from you! Apply for this job