Senior Data Engineer

🕒 Abril 29

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $135.000 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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Hyatt

SiteLinkedInTodas as Vagas

10.000+ funcionários

👥 B2C

🛒 Varejo

B2C • Retail • Hospitality

A Hyatt é uma empresa global de hospitalidade que gerencia, franqueia e desenvolve um portfólio de hotéis, resorts e propriedades de férias. É conhecida pelo seu compromisso em fornecer serviços e comodidades de alta qualidade, visando aprimorar a experiência de viagem tanto para viajantes a negócios quanto de lazer.

Descrição

• Collaborate with product managers, data scientists, engineering, and program management teams to define product features, business deliverables and strategies for data products. • Collaborate with business partners, operations, senior management, etc. on day-to-day operational support. • Support operational reporting, self-service data engineering efforts, production data pipelines, and business intelligence suite. • Interface with multiple diverse stakeholders and gather/understand business requirements, assess feasibility and impact, and deliver on time with high quality. • Design appropriate solutions and recommend alternative approaches when necessary. • Work with high volumes of data, fine tuning database queries and able to solve complex technical problems. • Contribute to multiple projects/demands simultaneously. • Work in a fast paced, collaborative, and iterative environment. • Exercise independent judgment in methods and techniques for obtaining results. • Work in an agile/scrum environment. • Use state of the art technologies to acquire, ingest and transform big datasets.

🎯 Requisitos

• 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics. • Experience and comfortable solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners. • Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business. • Very good understanding of the full software development life cycle. • Very good understanding of Data warehousing concepts and approaches. • Experience in building Data pipelines and ETL approaches. • Experience in building high-volume data workflows in a cloud environment. • Experience in building Data warehouse and Business intelligence projects. • Experience in data cleansing, data validation and data wrangling. • Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift. • Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus. • Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot. • Experience with relational databases like DB2, Oracle, Redshift, Snowflake. • Proficient in SQL, PL/SQL, NoSQL, relational databases (RDBMS), database concepts and dimensional modeling. • Hands-on experience building complex business logics and data ingestion and transformation (ETL/ELT) workflows using Informatica IICS or similar tools, AWS pipelines, Snowpipe, Streaming solutions, Kafka and other industry standard tools and processes is preferred. • Hands-on experience in scripting languages: Python and/or Unix Scripting. • Strong verbal and written communication skills. • Demonstrate integrity and maturity, and a constructive approach to challenges. • Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments. • Open minded, solution oriented and a very good team player. • Passionate about programming and learning new technologies; focused on helping yourself and the team to improve skills. • Effective problem solving and analytical skills. • Ability to manage multiple projects and report simultaneously across different stakeholders. • Rigorous attention to detail and accuracy.

🏖️ Benefícios

• Annual allotment of free hotel stays at Hyatt hotels globally • Flexible work schedule • Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center • A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption • Paid Time Off, Medical, Dental, Vision, 401K with company match