Builds ETL pipelines that extract, transform and load data between systems.

Entry

Intermediate

Coding

High

Key skills

ETL developmentSQLSSIS / Informatica / TalendData warehousing

Career overview

The ETL Developer builds Extract-Transform-Load pipelines that move data from source systems to warehouses and datamarts. They work with tools like SSIS, Informatica, Talend or Airflow and write SQL transformations. The role leads to Data Engineer, Data Integration Engineer or Data Architect positions.

Main responsibilities

  • Develop ETL and data integration flows
  • Build reliable data ingestion pipelines
  • Model and query relational databases
  • Model and maintain the data warehouse
  • Guarantee data quality, freshness and lineage
  • Build and maintain CI/CD pipelines
  • Keep technical documentation up to date
  • Prepare and execute change requests in production
  • Analyse application logs to identify root causes
  • Automate recurring tasks with scripts

Technical skills

ETL development88%
SQL85%
Data warehousing78%
SSIS / Informatica / Talend82%
Python / scripting70%
Data modelling75%
Scheduling (Airflow)72%
Error handling75%

Technologies

SSISInformaticaTalendAirflowSQLPythonSnowflakeBigQueryRedshiftOraclePostgreSQLGitAzure Data FactorydbtDockerKafkaSparkExcelJenkins

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Common entry point

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty72%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • Talend Certified Developer
  • Informatica PowerCenter Developer
  • Microsoft DP-203 Data Engineer

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Overlap: 62% · Difficulty: Easy

Skills to learn: Spark / distributed processing, Streaming (Kafka), CI/CD & testing

View roadmap

Overlap: 34% · Difficulty: Medium

Skills to learn: API & streaming (Kafka), ETL / ELT, Schema evolution

View roadmap

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

Soft skills
  • Rigour and attention to detail
  • Analytical thinking
  • Problem solving
  • Teamwork
  • Clear communication
  • Attention to detail

Related resources

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ETL DeveloperData Engineer

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