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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 (Redshift, Snowflake, BigQuery), and streaming platforms (Kafka, Kinesis).
Strong understanding of data modeling, schema design, and data transformation patterns.
Experience working with AWS (Glue, S3, Redshift, SageMaker) or Azure (Data Factory, Azure ML Studio, Azure Storage).
Familiarity with CI/CD for data pipelines and infrastructure‑as‑code (Terraform, CloudFormation).
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
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