Job Description
ROLE: SR. DATA ENGINEER / SOLUTUON ARCHITECT
LOCATION: MEXICO
Job Description

Lead data engineering initiatives leveraging cloud services to automate data ingestion pipelines (batch and streaming) along with automated testing, deployments, and monitoring

Architect and design solutions for data engineering initiatives

Serve as a subject matter expert for cloud data platforms and data services

Work with the DataOps team for code migration and continuous improvements

Serve as delivery lead for a team of onsite/offshore data engineers and data analysts

Provide data engineering and data analysis services to business functions to solve problems through the right data and insights

Help educate and train the junior data team to grow in their career

Apply a product mindset and product design thinking to build data as products

Partner with the business to define a value-generation roadmap and deliver MVPs of data products across data domains

Build product-sense for data products while measuring user-adoption, -growth, -retention, and data products quality

Play a key role in building out our enterprise cloud data platform through expert knowledge of cloud service offerings that fit into the Companies Integrated Data Fabric roadmap
Requirements:
Key Skills, Abilities, And Experience Required

8 years of data and technology experience, with at least 4 years in a solution architecture and data engineering.

4 years of Experience with Big Data Architectures, Business Intelligence, Data Engineering, Data Warehousing (Kimball/Inman/RDBMS), Wide Tables, Data Modeling, Report/Dashboard Building

Experience working with any modern data tech stack like Azure Data Factory, Databricks Delta Lakehouse , Azure Synapse Analytics, Google Data Flow, Data Prep, Python based integrations, Integration Run Times, MuleSoft Integration Platform, API led Integrations, etc.

Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP Big data services, Databricks and other tools & technologies

Strong analytical and problem-solving skills with a proven track record in gathering and documenting comprehensive business requirements

Extensive experience in data modeling and database design involving any combination of data warehousing and business intelligence systems and tools

Expert knowledge in SQL, Python, PySpark, Databricks, SparkSQL development frameworks

Expert level experience in writing ANSI SQL, T-SQL, PLSQL or HIVE SQL based complex queries and data aggregation and transformation

Experience with API-led data integrations

Experience in working/delivering analytics using Power BI and Tableau
Additional preferred qualifications

• • Experience working in a DevOps practice
  • Innovation mindset - Test & learn and build for value
  • Architecture mindset - Understand how business value drivers, conceptual, logical, and physical architectures tie in together to deliver on the strategy
  • Understanding of data governance, data quality management, data custodianship, data regulations like GDPR/CCPA
  • Experience working with massively parallel processing (MPP) architectures
  • Experience with query processing engines like those of Delta Lake, Presto, Azure Synapse, Dremio, etc.
  • Exposure to the Azure cloud services stack including serverless stack
  • Experience with ITSM, release management and change management practices
  • Experience working in Agile or SAFE Agile team structures