Data Application Support Engineer - Saltillo, México - Tech Mahindra

Tech Mahindra
Tech Mahindra
Empresa verificada
Saltillo, México

hace 3 semanas

Rodrigo Fernández

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee


Descripción

THIS POSITION REQUIRES A FLUID ENGLISH COMMUNICATION SKILLS AND IS ONLY ON WFH HYBRID SCHEME, 3 DAYS AT HOME AND 2 AT THE OFFICE (CANNOT BE REMOTE), MEANING THAT THE RESOURCE SHALL LIVE EXCLUSIVELY IN or NEAR NUEVO LEON, MEXICO.


The
DATA APPLICATION SUPPORT ENGINEER requires strong technical background, hands-on expertise in
Linux,
SQL Scripts,
any Programming Languages Coding,
Data Modeling,
XML's and experience in
Cloud technologies along with
Data Analysis skills and communication abilities.

The resource will participate and execute multiple project teams for the delivery of data solutions, including new development, maintenance, and enhancements as well as assist with the daily operations.


  • Programming Language Coding (preference
    Python or
    C#/.NET / Java/ PHP)
-
Pyspark and
Pandas experience

-
Linux /
CLI:


  • With handson experience in writing advanced
    SQL Scripts, ensure data is loaded from multiple data sources to target systems
  • Able to quickly understand
    Data Model from physical and logical models
  • Handson experience in analyzing large volumes of data using different tools like (like Excel, SQL, etc.)
  • Knowledge on engineering data using
    SSIS /
    SSRS:
  • Good understanding of best practices in
    SQL and
    ETL process including managing data privacy
  • Advanced expertise in
    SQL for parallel
    Data Warehouse to implement complex business logic
  • Ability to critically think and identify root cause of a data issue
  • Knowledge in maintaining script files using
    Git HUB:
  • Proactively liaise with architect, business & technology partners to resolve data anomalies appropriately.
  • Communicate complex data issues to business partners in a concise and impactful way

A plus if you have the following skills/tools/products:

  • Kafka
  • Spark
  • Hadoop
  • PySpark
  • HDFS
  • Scraping Frameworks
  • Map Reduce
  • Hive
  • Mahout
  • PIG
  • NRT pipelines
  • Triple Base
  • Snowflake
  • Hadoop
  • Knowledge Graph

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