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Senior Data Engineer.

Senior Data Engineer.
Empresa:

Metlife


Detalles de la oferta

With more than 150 years in business and presence in more than 40 countries, MetLife is leading the global transformation of the insurance industry. United in purpose and with different perspectives, we are a collaborative community of more than collaborators worldwide, committed in building a more confident future for all of our stakeholders — employees, customers, shareholders and the communities we serve. We are now looking for a Sr Data Engineer with a track record of designing and implementing large and complex technology projects at a regional scale to join the D&A Team at our Center of Excellence in Buenos Aires, Argentina. The ideal candidate would have a solid foundation in hands-on ETL and analytical warehouse development, understand complexities in managing end to end data pipelines and in-depth knowledge of data governance and data management concepts. To be successful in this role, you would require a balance of product-centric technical expertise and navigating complex deployments with multiple systems and teams. This role requires interaction with technical staff and senior business and IT partners around the world. This position is also responsible for ensuring operational readiness by incorporating configuration management, exception handling, logging, end-to-end batch and real-time data pipeline operationalization for getting data, managing and processing into the hub. What you will do in this role… • Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes • Create frameworks and developer tools, design training materials, conduct developer training. Evangelize new ideas, standards, best practices and solutions with the developer and tech community. • Develop quality code with thought through performance optimizations in place right at the development stage. • Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies. • Ingesting huge volumes data from various platforms for needs and writing high-performance, reliable, and maintainable ETL code • Interact with business analysts and functional analysts in getting the requirements and implementing the ETL solutions. • Provide technical support to project teams throughout project lifecycle around technology platforms, solution design, security, debugging, profiling, performance tuning etc. To help you succeed, you need to have… • Strong ETL and data warehousing development knowledge • Proven track record designing ETL and data lakes on cloud or big data based platforms • Hands on expertise in: Implementing analytical data stores in Azure platform using ADLS/Azure data factory /Data Bricks and Cosmos DB (mongo/graph API) • A deep experience in technologies such as Spark (Scala/python/Java), ADLS, Kafka, SQL, Synapse SQL, Cosmos DB, Graph DBs [in Azure use SPARK] is critical. • Experience with implementing, and deploying scalable and performant data hubs at global scale • A strong background in cutting-end database technologies, and cloud services such as Azure, GCP, Azure, Data Bricks or SnowFlake. • Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance. And it will be a plus if you… • Eagerness to learn new technologies on the fly and ship to production • Excellent communication skills: Demonstrated ability to explain complex technical content to both technical and non-technical audiences • Experience working enterprise complex large scale, multi-team, programs in agile development methodologies • Bachelor's degree in computer science or related field • Working knowledge of English The benefits we offer… Hybrid work mode and Flex Fridays! Learning and development programs Discounts at universities Health insurance for the family group Connectivity Reimbursement Day off for birthdays Cultural Heritage Day off Healthy breakfast with seasonal fruits In-company gym & agreement with SportClub for the employee and direct relatives Agreement with "Club de Beneficios" purchases of warehouse products and more... At MetLife - Center Of Excellence we are committed to promoting diversity among employees, through non-discriminatory treatment based on race, gender expression / identity, sexual orientation, religion, age, nationality, marital status, disabilities, physical or economic condition, HIV and pregnancy tests are not done as a requirement for entry, permanence or promotion and there is equal job opportunities. Join MetLife and let's find out what we can build together!


Fuente: Talent_Ppc

Requisitos

Senior Data Engineer.
Empresa:

Metlife


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