Data Engineer

Job Description:

Bachelor's degree in Computer Science, Information Systems, or a related field.

4+ years of experience designing and deploying scalable data pipelines in cloud environments (Azure)

Proficiency in Python, SQL, and data manipulation tools and frameworks (e.g., Apache Airflow, Spark, dbt, Pandas).

Practical experience with data lakes, data warehouses (e.g., Redshift, Snowflake, Big Query), and streaming platforms (e.g., Kafka, Kinesis).

Strong understanding of data modeling, schema design, and data transformation patterns.

Experience working with AWS (Glue, S3, Redshift, Sage maker) or Azure (Data Factory, Azure ML Studio, Azure Storage).

Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation).