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 ensure data infrastructure aligns 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 compliance. The role involves working with cutting-edge technologies like Snowflake, Databricks, Apache Spark, and AWS Glue.

Intellectsoft offers an attractive benefits package including 35 days of annual leave, professional development opportunities through Udemy courses, English language training, and regular team-building activities. The company serves various industries including Fintech, Healthcare, and EdTech, working with prestigious clients such as Jaguar Motors, Universal Pictures, and Harley-Davidson.

This remote position allows for flexible work arrangements while requiring overlap with US Eastern Time. The role offers an opportunity to work on challenging projects, implement modern data solutions, and contribute to the company's data-driven culture. The successful candidate will play a key role in shaping the technological landscape of the organization while working with a diverse, global team.

Last updated 8 minutes 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
Go
  • 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
  • Must overlap with US Eastern Time (EST)
  • Self-motivated and capable of independent work

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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