Senior Big Data Engineer (Remote)

BairesDev

Nuevo León

Remote

MXN 2,198,000 - 3,297,000

Full time

10 days ago
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Benefits offered by this job

100% remote
USD or local currency compensation
Home office setup
Flexible hours
Parental leave & holidays
Global, multicultural environment
Mentorship & growth opportunities

Job summary

BairesDev, a 15-year technology leader with a 4,000+ global team, offers 100% remote roles that impact clients worldwide. We seek a Big Data Senior to tackle batch and real-time ML, write Spark jobs, optimize Hadoop clusters, and perform AWS DevOps.

You will collaborate with Architects, Data Scientists, Engineers, and PMs, writing Java or Python and mentoring peers. Join a multicultural environment with flexible hours and competitive compensation in USD, designed for career growth and global

Qualifications

  • 6+ years of experience as a developer.
  • 5+ years with Big Data.
  • Proficient with analysis, troubleshooting, and problem-solving.
  • Hands-on experience with data loads and data quality is a plus.
  • Advanced English level.

Responsibilities

  • Identify and recommend paradigms and technology choices for batch and real-time ML scenarios.
  • Write highly efficient Spark jobs to process TB of data.
  • Collect heuristics and optimize Spark jobs on large Hadoop clusters.
  • Perform DevOps on AWS to ensure resiliency, availability, security, and HA/DR.
  • Partner with Architects, Data Scientists, Data Engineers, Analysts, PMs, and customers.
  • Write clean, efficient code and deployment artifacts in Java or Python, or Chef.
  • Teach and mentor other engineers on the team.

Skills

Developer experience
Big Data experience
Analytical thinking
Advanced English

Tools

Spark
Hadoop
AWS
Java
Python
Chef

Job description

BairesDev, a 15-year technology leader with a 4,000+ global team, offers 100% remote roles that impact clients worldwide. We seek a Big Data Senior to tackle batch and real-time ML, write Spark jobs, optimize Hadoop clusters, and perform AWS DevOps.

You will collaborate with Architects, Data Scientists, Engineers, and PMs, writing Java or Python and mentoring peers. Join a multicultural environment with flexible hours and competitive compensation in USD, designed for career growth and global

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