Data Pipeline Engineer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Minimum of 3 years experience in using ELT tools and developing data pipelines., Advanced SQL knowledge and experience with relational databases., Experience with object-oriented scripting languages such as Python, Java, or Scala., Strong organizational skills and attention to detail..

Key responsibilities:

  • Assemble large, complex data sets that meet business requirements.
  • Identify and implement internal process improvements for data delivery and infrastructure.
  • Build infrastructure for optimal data extraction, transformation, and loading.
  • Perform system administration functions for various data analytics applications.

Sky Systems, Inc. (SkySys) logo
Sky Systems, Inc. (SkySys) Information Technology & Services Startup https://myskysys.com/
11 - 50 Employees
See all jobs

Job description

Role: Data Pipeline Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 4-6 Month Project
Work Hours: US Time
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote (Candidates can work from anywhere in LATAM Countries)

Our client is looking for a Data Pipeline Engineer to develop, configure and maintain data movement between various data sources and the data warehouse.

Responsibilities:
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Perform system administration functions for various data analytics applications (ELT, data lake, user-facing reporting applications, etc.)
Qualifications:
  • Minimum of 3 Years experience in using ELT tools and developing data pipelines
  • Experience working with Snowflake
  • Helpful but not required: experience working with integrate.io
  • Helpful but not required: experience working with NetSuite
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Understanding of retail, either financial planning or merchandising/inventory planning a plus
  • Experience identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Ability to perform root cause analysis on external and internal processes and data to identify errors, opportunities for improvement and answer questions
  • Curious; willing to learn and research. Able to quickly learn new applications. Able to expand your own knowledge through a variety of sources. Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try new ways to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure
  • Solves difficult problems with effective solutions; asks good questions and probes all fruitful sources for answers; can see underlying or hidden problems and patterns; is excellent at honest analysis; looks beyond the obvious and doesn't stop at the first answers
  • Strong organizational skills and attention to detail
  • Team Player - Creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; acts as if real success is the success of the whole team; creates a feeling of belonging in the team

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Organizational Skills
  • Teamwork
  • Curiosity
  • Problem Solving

Data Engineer Related jobs