Apache NiFi Data Engineer Entry Level

As part of Data & AI practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.

Key Responsibilities:

Assist in the development and optimization of scalable data pipelines and workflows in cloud environments.

Support senior data engineers and architects by gathering requirements and helping define robust data models and architecture.

Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.

Contribute to maintaining data quality, security, and governance standards across all data-related activities.

Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.

Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones

Associate/Bachelor’s degree in Computer Science, Engineering, or a related field.

Some experience or internships in data engineering or a related field, demonstrating foundational skills. Proficiency in SQL and experience with programming languages such as Python or PySpark.

Understanding of data modeling concepts and databases/data warehouses (Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server or Big Query).

Familiarity with ETL tools such as (Data Factory, dbt, Airflow, Apache Nifi or Informatica).

Familiarity with cloud platforms (Azure, AWS, or GCP).

Good analytical skills and a problem-solving mindset.

Ability to collaborate in multinational environments.

Willingness to travel and proficiency in English.