Principal Data Engineer

2 miesięcy temu

Gdańsk, Polska Carrier Pełny etat

About This Role

You will solve problems in a fast-paced, collaborative, and iterative delivery environment. You should be comfortable in an engineering leadership capacity and have deep technology expertise and a collaborative style that brings others into the decision-making process without slowing down progress. This position will significantly impact the tech agenda within the organization and devise clear roadmaps to deliver next generation technology solutions across a global organization.

Extensive background working on complex, multi-stakeholder, upmarket environmentally impactful platform projects and services consumed by other internal teams to use as a foundation and value-add to their solution product apps Strong analytical, strategic, and creative problem-solving skills Demonstrate effective communication skills & ability to influence across all organizational levels Team player with a positive, collaborative work ethic. Enjoys collaborating with design, product, etc... Strong experience in driving process standardization and driving the process change across teams is essential Experience mentoring, coaching, developing and inspiring highly-skilled people and teams

As a constant learner and early adopter, you are already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. We embrace a culture of experimentation and constantly strive for improvement and learning. You will work in a collaborative, trusting, thought-provoking environment — one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

Key Responsibilities

Data Warehouse ownership, 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 Own Data Warehouse security issue resolution, monitoring, workload management, query optimization, HA/DR for the RedShift clusters Data Warehouse: Automation, Monitoring, Data Governance & Compliance, Scalability, and Cost Management Supports all phases of Carrier.io Analytics & Insights Value Stream projects from conception and architecture through execution and support for full development lifecycles in collaboration with multifunctional leaders, stakeholders, contributors, and customers Drives development principles, best practices, quality standards, and activities within engineering production to minimize/mitigate risks, issues, and defects of platform service offerings, such that teams may appropriately characterize, manage, and remediate Aligns with Product and other key stakeholders to help scope projects, define requirements, perform gap analysis, refine functional requirements, and manage engineering team’s technical execution and commitments using Agile/Scrum best practices Conceptualizes solutions and generates secure design requirements, for related feature and function development, implement required modules and solutions, and fosters new product development and innovation Provides technical & thought leadership, mentorship, and training Provides timely and expert support to resolve difficult problems and issues Works closely with technical writers to create documentation for developers, consumers and customers Communicates with other TVSLs to design solutions aligned with the overall goal

Required Qualifications

6-10+ years of hands-on, enterprise level, professional software development experience 4+ years of hands-on cloud system design and architecture development and delivery experience 5+ years of system design and architecture experience 3+ years of engineering/development team leadership experience (Team Lead, Eng. Mgr, or similar) 2+ years of distributed engineering team leadership experience Travel for quarterly team alignment and planning Conduct architecture reviews, cybersecurity reviews, code reviews, and provide technical feedback and guidance A complete understanding of hardware/embedded/middleware/software development life cycle, from customer needs to product release, is essential. Hands-on experience with development tools & dev-ops is required. Expertise and domain knowledge in developing, maintaining reusable software services, infrastructure for promoting reuse of services/ components/ libraries. Deep understanding of standard practices of opensource software development tools and methodology is absolute. Demonstrated ability and hands-on experience in developing modern, cloud-native, IaC software technologies to deliver industrial, enterprise-grade platform products and services is necessary. Expertise in developing and deploying solutions in a serverless AWS (Amazon Web Services) environment. Proficiency with other cloud development a plus. Ability to analyze software services for reuse potential.

Preferred Qualifications

Deep knowledge of cloud architecture, cloud native patterns, and cloud computing capabilities especially as offered by AWS, specifically Timestream, Glue, Apache Spark, DataBricks, and DynamoDB Dashboard development and report development experience with big data, ideally with Sisense (or a similar dashboard/reporting soluition) Significant 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 Experience with deployment orchestration, automation, and security configuration management (CircleCI, Jenkins, Puppet, Chef, Ansible, etc.) Strong skills and experience in Analytics Cloud migration and implementation, AWS services related to analytics, AI/ML, CI/CD Experience developing highly scalable applications using service-oriented, microservice, and/or RESTful Expertise with database technologies Experience in EMR, Hadoop, HIVE, S3, etc. Experience in managing and optimization Big Data / Hadoop clusters Design for failover, high availability, MTTR, MTTF and MTBF Experience in designing and implementation of automated backup and restoration of application/web servers/databases/data lakes Experience in networking, including security analysis, firewall configuration, and Infrastructure as Code (IaC) Experience with container technologies (AWS – ECS/EKS/Fargate, Kubernetes, etc) as well as AWS serverless technologies and architecture patterns Experience in using AWS Key management systems (KMS) 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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