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Data Engineer
$70,000 - $80,000 Mensual

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Tiempo completoEspacio de trabajo:
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Descripción
Infotree Global Solutions is a dynamic and entrepreneurial company, comprised of a team of dedicated professionals with over 50 years of direct experience.
We pride ourselves on our high level of customer service and repeat customers. Attention to customer service and innovative solutions in Human Resources, Engineering and IT has helped us to achieve an average yearly growth of over 100% since our founding.
Infotree Global Solutions is a dynamic and entrepreneurial company, comprised of a team of dedicated professionals with over 50 years of direct experien
We Are Looking For: Senior Data Engineer
Top Skills Details
- 6+ years of experience working in Data Engineering and Software Development at the enterprise level on an external facing applications deployed on the the cloud (AWS preferred but any cloud is fine)
- Strong data engineering experience with Postgres & Spark (preferably Scala Spark but will consider PySpark)
- Strong hands of development experience with Java (and/or Scala)
- System design knowledge especially around persistence which includes scalability, resiliency, latency, performance, etc
Education and Experience Requirements:
6+ years of database development experience in a professional environment and/or comparable experience such as:
Hands on expertise with design and development across one or more database management systems (Postgres)
Experience with distributed (multi-tiered) systems, algorithms, and application development (Java)
Experience with database development and support of OLTP and/or OLAP systems.
Demonstrated experience with big data technologies (Spark) and NOSQL design and coding with variety of data stores (document, column family, graph, etc.)
Bachelor's degree in computer science, computer science engineering, or related field required; advanced degree preferred.
3+ years Java.
3+ years Postgres/Oracle
3+ years Spark
Enterprise Req Skills
java,postgresql,Spark,cloud,oracle,software development,Data Engineering,scala,jenkins,ab initio,Aws
Team Environment Tech Stack:
o Db2, Couchbase, Postgres, Oracle
o Primarily React via OneApp and Java via OneData
o Cucumber, Gatlin, Karate, Jest
o AWS, GCP
o Terraform
o GitHub Actions
o GitHub Enterprise
o Jenkins
• Key Responsibilities:
o Performs all technical aspects of data architecture and database management for assigned applications, including developing prototypes, developing new database structures and APIs as applicable.
o Performs transformation of logical data architectures into physical data designs, according to database design best practices and standards
o Provides database administration services to projects crafting, extending or maintaining databases, data warehouses and datamarts
o Debugs database components, identifies, fixes and verifies remediation of design and/or performance defects.
o Performs ongoing refactoring of database design and continuously improves product to follow data placement procedures and re-use of existing databases as appropriate.
o Ensure optimal data replication, performance, High Availability, backup and recovery processes exists to meet requirements, reduce cost and adhere to standards.
o Leads in development of plans and strategies, best practices, and standards related to data management processes, data products, data security and programs.
o Functions as Senior member of an agile team and leads data assets as per the enterprise standards, guidelines and policies.
o Typically spends 50% of time in database development and testing and remainder of time collaborating with partners through ongoing product/platform releases.
o Communicates and works collaboratively with business and product teams to support changes and implementation.
o Works with product team to prioritize features for ongoing sprints and leading a list of data requirements based on industry trends, new technologies, known defects, and issues.
o Partner with delivery architects and engineers to design optional data tier solutions to meet enterprise platform objectives and goals.
o Stays abreast of new DBMS features and functions and drive adoption across Amex to use product capabilities.
o Active member of the vendor product development strategy that will enable vendors to provide solutions and features to meet Amex needs.
o Contributes to decisions about tools, methods and approaches.
o Finds opportunities to embrace innovative technologies.
o Works closely with product owners on blueprints and annual planning of feature sets that impact multiple platforms and products
Job Title: (MX) Senior Data Engineer
Max Pay Rate: $80,000 Mxn gross + Law Benefits
Project duration: 12 Months + (Will likely extend another year)
Type of Role: Hybrid - 2-3 days a week (Ciudad de México,Mexico, 03710)
Interested? We'd love for you to get in touch!
APPLY NOW
ID: 20530284
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