Data Infrastructure Engineer

Software development company operating since 2007 across North America, Latin America, Nordic region, UK, and Europe, specializing in Fintech, Healthcare, EdTech, Construction, and Hospitality solutions.
ColombiaBrazilUkraine
Data
Senior Software Engineer
Remote
5+ years of experience
Enterprise SaaS · Finance · Healthcare...

Description For Data Infrastructure Engineer

Intellectsoft, a prominent software development company established in 2007, is seeking a Data Infrastructure Engineer to join their team. This role is crucial in designing and maintaining sophisticated data pipelines that support compliance strategies and product offerings. The position requires extensive collaboration with compliance, legal, and finance teams to align data infrastructure with business objectives.

The ideal candidate will have 5+ years of experience in engineering and data analytics, with strong expertise in SQL, Python, and modern data technologies. They will be responsible for architecting both real-time and batch data pipelines, implementing security controls, and ensuring data governance across the organization.

Working with industry leaders like Jaguar Motors, Universal Pictures, and Harley-Davidson, you'll have the opportunity to make a significant impact on large-scale projects. The role offers a flexible remote work environment with team members across multiple locations including Colombia, Brazil, Ukraine, and Poland.

The position comes with excellent benefits including 35 days of annual leave, professional development opportunities through Udemy courses, English language training, and regular team-building activities. The company culture emphasizes both technical excellence and professional growth, making it an ideal environment for a senior data professional looking to work on challenging projects while maintaining work-life balance.

As a Data Infrastructure Engineer, you'll be at the forefront of implementing cutting-edge data solutions, working with technologies like Snowflake, Databricks, Apache Spark, and AWS Glue. The role requires a balance of technical expertise, strategic thinking, and collaborative skills to successfully deliver data infrastructure that meets both business and regulatory requirements.

Last updated 4 hours ago

Responsibilities For Data Infrastructure Engineer

  • Design, construct, and maintain real-time and batch data analytics pipelines
  • Formulate and sustain declarative data models and transformations
  • Implement data ingestion integrations for streaming and conventional sources
  • Set up and arrange BI tooling for data analysis
  • Collaborate with product, finance, legal, and compliance teams
  • Institute and enforce data governance policies
  • Document and disseminate optimal procedures
  • Implement secure permissioning model and data masking
  • Recognize and convey data platform needs
  • Cooperate with cross-functional teams

Requirements For Data Infrastructure Engineer

Python
Kubernetes
TypeScript
  • 5+ years of professional engineering and data analytics background
  • Advanced SQL and Python abilities
  • Experience with data pipeline and warehouse technologies (Snowflake, Databricks, Apache Spark, AWS Glue)
  • Skill in formulating declarative data models and transformations using dbt
  • Experience in building and overseeing cloud-based data lakes
  • Experience with real-time data streaming technologies (Kafka and Spark)
  • Experience with Airflow
  • Familiarity with Terraform and Kubernetes
  • Self-motivated and capable of independent work
  • Ability to overlap with US Eastern Time (EST)

Benefits For Data Infrastructure Engineer

Education Budget
  • 35 absence days per year for work-life balance
  • Udemy courses of your choice
  • English courses with native-speaker
  • Regular soft-skills trainings
  • Excellence Centers meetups
  • Online/offline team-buildings

Interested in this job?

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