- 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.

Qualifications :

- Bachelors 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.

Preferred Qualifications :

- 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