Data Engineer

Design and manage data pipelines in the cloud.

Build and maintain systems for collecting, transforming, integrating, and delivering customer data.

Perform data processing and transformation using technologies such as Apache Spark and cloud-native services.

Integrate data from multiple sources into centralized data warehouses.

Explore and evaluate new technologies and architectural patterns.

Collaborate with agile teams and actively participate in Scrum ceremonies.

Utilize source control systems effectively and manage CI/CD pipelines for continuous delivery.

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

Proficiency in Python, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP).

Strong understanding of ETL/ELT frameworks.

Familiarity with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Synapse.

Knowledge of various data formats, including JSON, Avro, and Parquet.

Strong command of SQL for data querying and manipulation.

Ability to quickly adapt to and implement new tools and technologies.

Cloud certification from one of the major cloud providers (AWS, Azure, or GCP).

Experience with tools and platforms such as Snowflake, PySpark, Apache Airflow, Terraform, and Looker.

Familiarity with CI/CD and collaboration tools such as Jenkins, GitLab, Jira, and Confluence.