Data Warehouse Engineer
2 miesięcy temu
About This Role
You will solve problems in a fast-paced, collaborative, and iterative delivery environment. You should be comfortable in data engineering and have deep technology expertise in this area. You will be responsible for delivering highest quality solutions on time, cooperating with other Team Members, Technical Value Stream Lead, other Scrum Teams, Product Owners and Product Managers. You will create and maintain Data Warehouse solution according to provided architecture and requirements. This position will impact the tech agenda within the organization to deliver next generation technology solutions across a global organization.
Key Responsibilities
Data Warehouse development, maintenance, support, and optimizations in a large multi-tenant architecture using AWS Redshift and other AWS Data Pipeline & Ingestion services
Data Modeling, ETL and/or ELT for complex large IoT, Operational Behavioral, and Meta Data
Data Warehouse security issue resolution, monitoring, workload management, query optimization, HA/DR for the RedShift clusters
Data Warehouse: Automation, Monitoring, Data Governance & Compliance, Scalability
Development of Carrier.io Analytics & Insights Value Stream in collaboration with other developers, testers, stakeholders, contributors, and customers
Drives development principles, best practices, quality standards, and activities within engineering production to minimize/mitigate risks, issues, and defects
Works closely with technical writers to create documentation for developers, consumers and customers
Required Qualifications
3-6+ years of hands-on, enterprise level, professional software development experience as Data Engineer
2+ years of hands-on cloud system development and delivery experience
Strong experience with Python, especially related to data processing
Strong knowledge of SQL
Data modelling skills
Experience with data warehousing solutions (preferably Amazon Redshift)
Experience with big data tools and platforms (preferably AWS)
Experience with ETL solutions (Apache Spark, Glue, Glue Crawlers, Athena, S3, Kinesis, Managed Workflows for Apache Airflow)
Preferred Qualifications
Experience with AWS CDK, AWS Cloud Solutions and TypeScript
Knowledge of cloud architecture, cloud native patterns, and cloud computing capabilities especially as offered by AWS, specifically Timestream, Glue, Apache Spark, and DynamoDB
Dashboard development and report development experience with big data, ideally with Sisense (or a similar dashboard/reporting soluition)
Technical expertise in Cloud Computing technologies, scripting languages, integrating 3rd party monitoring tools, encryption tools and best practices, and forensics
Implementation experience with AWS Redshift, Graph data stores, Event-Driven Architecture, IoT project experience on a revenue generating project
Education Requirements:
Bachelor’s degree or above in computer engineering, computer science, software engineering, or comparable professional experience. Ideal candidates will have postgraduate degrees, or equivalent professional experience.
Benefits
We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.
Carrier Employee Scholar Program – we cover 100% costs for your study,
Inhouse English lessons,
Pension Plan with life insurance – 3% of your yearly salary,
Lunch Card – 296 PLN monthly,
Luxmed Private Medical Care,
Multisport Card,
Flexible working hours,
Working with highly modern products
Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is .
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