FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in building and maintaining ELT pipelines and data lakes on AWS, with strong expertise in Spark and Python for data processing. Demonstrates solid experience in ensuring data quality and performance while collaborating effectively with engineering teams and stakeholders.
Highest-signal resume keywords
AWS Data ServicesELT Pipeline DevelopmentSpark ProgrammingPython ProgrammingData Lake Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ELT Pipeline DevelopmentSparkPythonSQLData Lake ArchitectureData Quality AssuranceData IngestionData ModelingRelational DatabasesData Processing Optimization
Soft Skills
CollaborationCommunication
Tools & Technologies
AWSFivetranAthenaRedshiftApache IcebergGlue DQDLOpenLineageApache Airflow
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSPythonSparkSQL
About the role
Key responsibilities & impact- Build and maintain ELT pipelines and a data lake on AWS
- Design, build, and maintain ELT pipelines to move and transform data
- Develop and optimize data processing jobs with Spark and Python
- Build and support data lake storage and data models on AWS using Athena, Redshift, and Apache Iceberg
- Work with relational databases such as MSSQL as data sources
- Set up and support data ingestion with Fivetran
- Ensure data quality, lineage, pipeline reliability, and performance using Glue DQDL and OpenLineage
- Collaborate with engineers and stakeholders on the project
Requirements
What you’ll need- Strong experience as a Data Engineer building ELT pipelines
- Hands-on experience with AWS data services
- Solid Spark and Python skills
- Experience with relational databases (MSSQL or similar) and strong SQL
- Experience with data lake architectures
- Experience with Fivetran
- Good written and spoken English
- Nice to have: Apache Airflow
- Nice to have: Apache Iceberg
- Nice to have: Experience with Census, SageMaker, Glue DQDL or OpenLineage
Benefits
Comp & perks- Technology-driven mindset leveraging AI and innovative tools
- Compensated learning opportunities
- Development-focused environment with tools and tasks supporting career growth
- Transparent communication and open dialogue
- Collaborative team of skilled, passionate professionals
- Flexibility through unlimited vacation policy
- Hybrid work format in Kyiv and Dnipro: 3 days in the office and 2 days remotely