World Wide Technology

World Wide Technology

Data Engineer - Costa Rica

Remote | $122K - $177K

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Qualifications

  • 3+ years of experience in working with data engineering in an enterprise company
  • Very strong experience in SQL, dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines
  • Good knowledge of reporting tools such as MicroStrategy, Cognos, Tableau with understanding of different types of reporting, storytelling using visualization
  • Experience in setting up and delivering cloud based Data lakes , Analytics Platform and Warehouse solutions (AWS, Azure etc.)
  • Understanding of serverless and Microservices architecture (e.g
  • Deep understanding of relational as well as big data setup, Experience with cloud platforms such as Databricks, Snowflake, ETL tools (eg Informatica), Hive, Presto, Dimensional Modeling
  • Proficiency with programming languages (e.g. Python)
  • Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc
  • Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc

Responsibilities

  • As a Data Engineer, you will collaborate with a multi-disciplinary team of solution architects, engineers and data scientists on a wide range of business problems
  • You will be integral part of Business & Analytics Advisory group who are a team responsible for building out capabilities and service offerings across business strategy, Big Data/analytics and Cloud
  • You will be working with account teams to sell and deliver these solutions to customers
  • Design and develop data pipelines on data heavy tech environments (data warehouse, ETL and BI tools)
  • Partner with data architects, data scientists, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self- service
  • Be an expert of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
  • Own and document data pipelines and data lineage

Company information

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