Hybrid Senior Data Engineer

Posted last month

Apply now

About the role

  • Discover, analyze and assemble large, complex data sets to meet functional and non-functional business requirements.
  • Build ETL pipelines for diverse data sources using SQL and Python in an AWS environment.
  • Work with stakeholders (Executive, Product, Engineering) to assist with data-related technical issues and support data needs.
  • Develop data tools for business departments to build and optimize products.
  • Maintain and optimize existing data models and data architecture.
  • Build processes supporting data transformation, metadata, dependencies and workload management.
  • Perform root cause analysis on data and processes to answer business questions and identify improvements.
  • Predict and validate performance for significant scale increases and manage bottlenecks in advance.

Requirements

  • Strong experience with relational SQL and NoSQL databases (Postgres/Redshift, MySQL/MariaDB/Aurora, MongoDB).
  • Experience with Python.
  • Experience with AWS services: S3, Athena, Redshift, Glue.
  • Experience building, optimizing and supporting big data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes.
  • Experience building processes for data transformation, data structures, metadata, dependency and workload management.
  • Ability to predict and validate performance at 10x, 100x, 1000x scale and manage bottlenecks.
  • Experience supporting and working with cross-functional teams (Executive, Product, Engineering) in a dynamic environment.

Benefits

  • Competitive and rewarding remuneration package.
  • Annual performance-based bonuses.
  • Comprehensive Learning Hub for continuous growth.
  • Hybrid work model: primarily office-based with scheduled home office flexibility.
  • Dynamic and inspiring environment with cutting-edge projects.
  • Career development opportunities in a global leader.
  • Customizable personal benefits package.
  • Wellness benefits: additional health insurance; all-access sports cards; team-wide sports activities; standing desks; blue light glasses.
  • Free parking with a designated space; free electric bikes; public transportation cards.
  • Fresh fruits, snacks, and a well-stocked office kitchen.
  • Regular department and company-wide team buildings.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

HybridBulgaria

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job