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DATAGROUP

ETL Developer, Python, PostgreSQL

DATAGROUP

. Design and implement Python components for ETL processes .

Posted 10/12/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python development for ETL processes, with strong capabilities in PostgreSQL, SQL, and data modeling. Proven ability to optimize ETL pipelines, ensure data quality, and mentor junior developers while collaborating effectively with stakeholders.

Highest-signal resume keywords
Python DevelopmentPostgreSQLETL Process OptimizationData Validation and Quality ChecksSQL Queries and Stored Procedures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python DevelopmentPostgreSQLSQLETL ProcessesData ModelingQuery TuningData Transformation LogicStored ProceduresAutomated TestingData Anomaly Alerting
Soft Skills
Analytical SkillsSolution-Oriented MindsetIndependent Working StyleStructured Working StyleMentoring
Tools & Technologies
IBM DatastageOracleCloud PlatformsOpen-Source Platforms
Industry Keywords
Data ExtractionData TransformationData QualityIncident ResponseOperational Runbooks

Tech Stack

Tools & technologies
CloudETLOraclePostgresPythonSQL

About the role

Key responsibilities & impact
  • Design and implement Python components for ETL processes
  • Migrate ETL pipelines from IBM Datastage and Oracle to Python and PostgreSQL
  • Extract data from various sources, transform it according to business rules, and load it into PostgreSQL databases
  • Collaborate with data architects and stakeholders to understand data requirements
  • Model data flows and define transformation logic
  • Implement SQL queries, stored procedures, and functions in PostgreSQL
  • Optimize ETL processes for performance, scalability, and resource usage
  • Perform query tuning in PostgreSQL
  • Build and maintain data validation and quality checks, including automated tests, reconciliation scripts, and alerting for data anomalies
  • Monitor ETL jobs and database health
  • Diagnose failures and performance issues and implement fixes or improvements
  • Document ETL processes, data dictionaries, lineage, and operational runbooks
  • Troubleshoot cross-system data issues
  • Participate in incident response and provide root cause analysis and remediation plans
  • Participate in code reviews, mentor junior developers, and improve team standards and best practices
  • Contribute to technology refresh, legacy-system modernization, and cloud and open-source platform migration initiatives

Requirements

What you’ll need
  • Good knowledge and several years of practical experience in Python development
  • Solid skills in Postgres and SQL
  • ETL experience is desirable
  • Strong analytical skills
  • A solution-oriented mindset
  • Ability to work independently
  • Experience in conceptual work
  • Excellent understanding of data
  • Independent and structured working style
  • Very good command of English, both spoken and written
  • Experience with IBM Datastage and Oracle
  • Experience with data modeling, transformation logic, SQL queries, stored procedures, and PostgreSQL functions
  • Experience with query tuning and ETL process optimization
  • Experience building data validation and quality checks
  • Experience monitoring ETL jobs and database health
  • Experience documenting ETL processes, data dictionaries, lineage, and operational runbooks
  • Experience troubleshooting cross-system data issues and participating in incident response
  • Ability to participate in code reviews and mentor junior developers

Benefits

Comp & perks
  • Flexible working hours
  • Remote work options (Poland only)
  • Open and cooperative corporate culture and a trusting working atmosphere
  • Flat Hierarchies and Short Decision Paths
  • Individual training opportunities
  • Interesting technical challenges
  • Social benefits