Senior Data Engineer
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Job Description
Senior Data Engineer at Hyatt developing robust data pipelines and supporting data-driven decisions. Collaborating with cross-functional teams in a dynamic and fast-paced environment.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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
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