10 days ago

Data Engineer

SiiRA

Hybrid
Contractor
$175,000
Hybrid

Job Overview

Job TitleData Engineer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$175,000
LocationHybrid

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Job Description

Who We Are

SiiRA is a global platform that connects top-notch digital professionals with US-based companies in digital growth mode. At SiiRA, we believe in an agile and sustainable workspace that promotes access to worldwide talent and drives enterprise growth. This is why SiiRA builds and fosters remote and competent teams that make the most of your expertise and skills.

The Role: Data Engineer

Are you looking to be a part of a growing global organization? We are seeking a highly experienced Data Engineer with strong expertise in modern data technologies and big data environments. The ideal candidate will have deep hands-on experience designing, building, and optimizing scalable data pipelines and architectures, particularly within GCP ecosystems.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines for structured and unstructured data.
  • Develop and optimize data models (conceptual and logical) and ensure data integrity and security.
  • Implement and manage GCP-based data solutions (BigQuery, GCS, Cloud Functions, Composer, Pub/Sub).
  • Configure and maintain real-time and batch data processing systems.
  • Support data analysis and machine learning initiatives by preparing high-quality datasets.
  • Optimize system performance through testing, troubleshooting, and continuous improvements.
  • Collaborate with Data Scientists, Analysts, and Engineering teams to translate business needs into scalable data solutions.

Qualifications

  • Must have experience with Data scientists, Data analytics and engineering.
  • Gather data from multiple sources and prepare it for analysis.
  • Analyze large volumes of structured and unstructured data to identify trends and patterns.
  • Develop machine learning models and predictive algorithms to solve business problems.
  • Use statistical techniques to validate findings and ensure accuracy.
  • Expertise in SQL, Python, ERD, GCP (All GCP services, GCP adapter, especially BigQuery, GCS, Cloud Function, Composer), DBT with active hands-on experience in the last 3~5 years.
  • Possess the knowledge of Modern Data Technology released in the last 2~3 years.
  • Design and optimize conceptual and logical database models.
  • Analyze system requirements, implementing data strategies, and ensuring the efficiency and security.
  • Improve system performance by conducting tests, troubleshooting, and integrating new elements.
  • In-depth understanding of database structure principles.
  • Expertise in implementing and maintaining data pipelines.
  • Deep knowledge of data mining and segmentation techniques.
  • 10+ years in data modeling with 3+ years in Big data (100TB+).
  • Familiarity with data visualization tools.
  • Pub-sub setup/configuration steps. Use case where pub-sub is used.

At SiiRA, we cherish diversity, equity, and inclusiveness. Our priority is that you feel respected and appreciated. As leaders and partners across industries, we strive to cultivate an environment reflective of our greatest asset: our people. Please visit our website and follow SiiRA on LinkedIn to stay updated with all our job postings.

Key skills/competency

  • Data Engineering
  • GCP
  • BigQuery
  • Python
  • SQL
  • Data Pipelines
  • Data Modeling
  • Big Data
  • Machine Learning
  • Data Security

Tags:

Data Engineer
Data modeling
Data pipelines
GCP
BigQuery
Data integrity
System performance
Machine learning support
Data analysis
Data security
Troubleshooting
SQL
Python
GCS
Cloud Functions
Composer
Pub/Sub
DBT
ERD
Data Visualization

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How to Get Hired at SiiRA

  • Research SiiRA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight expertise in GCP, BigQuery, Python, SQL, and big data environments to match the Data Engineer role.
  • Showcase relevant projects: Provide a portfolio or detailed examples of scalable data pipeline and architecture design.
  • Master technical skills: Prepare for in-depth questions on GCP services, data modeling, SQL, and Python programming.
  • Emphasize collaboration: Be ready to discuss experiences working with Data Scientists, Analysts, and Engineering teams.

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