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Senior Data Analytics Engineer

Zartis is a digital solutions provider working across technology strategy, software engineering and product development, partnering with firms across various industries.
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS · Finance · Healthcare...

Job Description

Zartis, a digital solutions provider, is seeking a Senior Data Analytics Engineer to join their team working on a project in the Technology industry. The role involves building and maintaining sophisticated data pipelines and infrastructure in a cloud environment, primarily AWS. The ideal candidate will have 5+ years of experience in data engineering, with strong skills in Python, SQL, and cloud technologies. The position offers a unique opportunity to work with leading brands, helping them harness marketing, advertising, and customer experience data to drive digital transformation. The role combines technical expertise with business impact, requiring both strong engineering skills and the ability to translate complex data into actionable insights. Benefits include remote work options, professional development opportunities, and a strong focus on work-life balance through their wellbeing program. The company culture emphasizes innovation, trust, and inclusive collaboration across distributed teams. This role would be ideal for a seasoned data engineer looking to make a significant impact in a growing, multicultural organization that values technical excellence and professional growth.

Last updated a month ago

Responsibilities For Senior Data Analytics Engineer

  • Designing performant data pipelines for ingestion and transformation of complex datasets
  • Building scalable infrastructure for hourly, daily, and weekly update cycles
  • Implementing automated QA checks and monitoring systems
  • Re-architecting system components to improve performance
  • Supporting team members through code reviews and collaborative development
  • Building enterprise-grade batch and real-time data processing pipelines on AWS
  • Designing and implementing automated ELT processes
  • Transforming clickstream and CRM data into meaningful metrics
  • Defining and maintaining CI/CD and deployment pipelines
  • Containerizing and deploying solutions using Docker and AWS ECS

Requirements For Senior Data Analytics Engineer

Python
Linux
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of experience building scalable data pipelines in cloud environment (AWS preferred)
  • Deep understanding of ELT processes and data modelling best practices
  • Strong programming skills in Python or similar scripting language
  • Advanced SQL skills
  • Familiarity with joining and analyzing large behavioral datasets
  • Excellent problem-solving abilities
  • Proven ability to manage multiple initiatives with minimal supervision

Benefits For Senior Data Analytics Engineer

Education Budget
Mental Health Assistance
  • 100% Remote Work
  • WFH allowance - Monthly payment for remote working
  • Career Growth Program with 360º feedback
  • Technical Training time allocation
  • Mentoring Program
  • Zartis Wellbeing Hub (Kara Connect)
  • Multicultural working environment