Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

Illinois

Posted

30 days ago

Salary

$135K - $170K / year

Seniority

Senior

Job Description

Senior Data Engineer

Hyatt

• 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.

Job 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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