Data Engineer

Data Engineer jobs at Big-Data.digital

Data Engineer

Position Summary
As a Data Engineer, you will work in a cross-functional Agile team environment to comprehensively architect, develop, and maintain databases, data pipelines, and a data warehouse. You will participate in a Data Governance committee and drive discussion about KPIs, data governance, data quality, and data lineage. You will develop and implement strategies for improving analytics capabilities data cleanliness, and machine learning. You will work closely and communicate clearly with Product Owners, developers, architects, and ScrumMasters daily.

About you:

  • You can work collaboratively with all team members despite department or position
  • You are able to work independently
  • You have strong problem-solving skills and clearly articulated complexity
  • You can effectively communicate with stakeholders in business terms and high-level technical terms
  • You are able to lead technical discussions using the voice of the business with technical and business stakeholders
  • You are able to reframe and respond to requests in writing
  • You listen and internalize complex business processes and help stakeholders flush out business processes when required
  • You can understand and tell a story to stakeholders about patterns and anomalies in the data

On a day to day you will:

  • Architect and implement data pipelines, design data schemas, and maintain transactional databases, data warehouses, and data lakes
  • Collaborate with the Analytics team to provide curated data sets, perform data analysis, and develop data services to make data more accessible
  • Build reports and dashboards to help detect data quality issues
  • Troubleshoot data quality issues and develop solutions to fix immediate data qualities issues and execute long term strategic business and technical initiates
  • Write and maintain documentation: data dictionary, business glossary, and data linage
  • Optimize performance of Redshift data warehouse
  • Evaluate, test, and implement different data engineering tools (mostly AWS resources)
  • Develop and execute plans for increasing data quality
  • Work on and develop strategies for building a data lake
  • Experiment with different products for the implementation of a data lake (mostly AWS resources)

Technical Skills and Responsibilities:

  • Design, implement, and QA data pipelines (any language and toolset)
  • Understands APIs and has code development skills (any language), must be able to write code (any language)
  • Understand the concepts and implementation practices of ETL, must be able to use different toolsets
  • Designing databases and data warehouses (Redshift, Dremio, or similar technology),
  • Data strategies for processing med-high data volumes for pushing out to the data warehouse
  • Building SQL (Stored Procedures, Functions, advanced select statements)
  • Excellent debugging and code-reading skills
  • Optimization and monitor database and data warehouse performance
  • Help develop data standards and implement and apply data governance strategies
  • Knowledge and implementation of some reporting technology
  • Knowledge of handling systems with med-high data volume
  • Usage or knowledge of data blending tools
  • Knowledge of machine learning implementation or training
  • Knowledge of NoSQL is a plus

As part of the LHW team you will be able to:

  • Able to work with a mid-sized progressive company that is looking to grow their technical abilities
  • Must be able to understand complex business scenarios and learn to speak in the voice of the business
  • Able to work closely with stakeholders and participate and make recommendations in large collaborative groups
  • Work in an agile methodology on all projects (does not require you to know agile methodology)

About The Leading Hotels of the World, Ltd. (LHW)
Comprised of more than 400 hotels in over 80 countries, LHW is the largest collection of independent luxury hotels. In 1928, 38 independent hoteliers came together to create LHW. Since then, the Company has carefully curated distinctive hotels, resorts, inns, chalets, villas, and safari camps from the snow-capped Alps of Europe to the African veldt, to share them with adventurous souls who seek the remarkably uncommon. The LHW community is filled with exceptional individuals, united by a passion for the surprising discoveries and details that come with every experience. LHW’s collection covers the globe and promises a broad range of destinations and uncommon experiences, enhanced by LHW’s tiered guest loyalty program Leaders Club. From converted former palaces, and countryside retreats run by the same families for generations, to gleaming skyscrapers in dynamic urban centers, serene private island escapes, and glamorous tented camps – and beyond – explore, find inspiration, and experience unforgettable travel moments. For more information visit: www.lhw.com, Facebook at @LeadingHotels, Twitter at @LeadingHotels, and Instagram @leadinghotelsoftheworld

LHW is proud to be an equal-opportunity employer. LHW does not discriminate on the basis of religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.

Job Type: Full-time

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Published 2022-05-10

looks for a Data Engineer in New York, NY 10017 location.

How much Data Engineer Jobs professional earns at ?

The proposed salary for Data Engineer Jobs position at is Not disclosed.

Data Engineer responsibilities at

According to the common industry standard, Data Engineer Jobs specialist is in charge for the following activities.

Required Data Engineer Jobs qualifications at

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