Builds distributed data processing systems for very large datasets.

Entry

Senior

Coding

Very High

Key skills

Spark / distributed processingHadoop / data lakesKafka / streamingScala / Python

Career overview

The Big Data Engineer builds distributed processing systems for very large datasets: Spark, Hadoop, Kafka, data lakes and lakehouses. They handle scale, partitioning, performance and cost. The role leads to Senior Data Engineer, Data Architect or Data Platform Engineer positions.

Main responsibilities

  • Build big data processing platforms
  • Build reliable data ingestion pipelines
  • Model and maintain the data warehouse
  • Guarantee data quality, freshness and lineage
  • Describe infrastructure as code and version it
  • Build and maintain CI/CD pipelines
  • Monitor platform health, alerts and dashboards
  • Track and optimise cloud spending
  • Keep technical documentation up to date
  • Mentor junior team members and review their work

Technical skills

Spark / distributed processing92%
Hadoop / data lakes85%
Kafka / streaming85%
Scala / Python85%
Lakehouse architecture82%
Performance & partitioning85%
Cloud big data services82%
SQL on big data80%

Technologies

SparkHadoopKafkaScalaPythonDatabricksHiveHDFSIcebergDelta LakeAWS EMRGCP DataprocSnowflakeAirflowTerraformDockerKubernetesGitPresto

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)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty86%

Useful certifications

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

  • Databricks Certified Data Engineer
  • Cloudera Certified Data Engineer
  • Google Professional 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: 74% · Difficulty: Easy

Skills to learn: Orchestration (Airflow), Mentoring

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
  • Problem solving
  • Analytical thinking
  • Big-picture thinking
  • Autonomy
  • Clear communication
  • Sense of ownership

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