Senior Data Engineer - Platform Modernization & Migration

New
I
Inallmedia.comData engineering
Location: Argentina / Brazil / Uruguay / Paraguay / Peru, Requires overlap until at least 12:00 PM Pacific Time (PT)Full-TimeSenior
Salary not disclosed
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Job Details

Languages
All interviews, documentation, and daily communication will be in English.
Experience
Minimum 2+ years of hands-on data engineering experience
Required Skills
PythonSQLApache AirflowSnowflakeApache KafkaSparkPySpark

Requirements

  • Have at least 2 years of hands-on data engineering experience working with large-scale datasets, Apache Airflow, and Apache Spark.
  • Have hands-on Python development experience and advanced SQL skills, including complex joins, CTEs, window functions, and query tuning.
  • Have experience with Snowflake data modeling and schema architecture.
  • Have direct experience building and testing pipelines using Apache Airflow, Apache Kafka, and Apache Spark or PySpark.
  • Have expertise with Apache Iceberg and Apache Parquet data formats.
  • Have experience with AWS S3 data lakes, bucket partitioning, and lifecycle policies.
  • Be able to define testing strategies and independently debug complex distributed data pipelines.
  • Complete the AWS WorkSpace connectivity test and submit a screenshot of the results with the application.

Responsibilities

  • Execute the migration of approximately 1,000 datasets to Snowflake and upgrade orchestration workflows from Apache Airflow 2 to Airflow 3.
  • Migrate legacy Hive data structures and datasets to Apache Iceberg using the Snowpark Connect framework/connectors.
  • Reconfigure, update, and migrate Confluent/Apache Kafka streaming connections across cloud regions.
  • Adapt existing data pipelines to Snowflake environments and optimize SQL queries using CTEs, window functions, and complex joins.
  • Manage, test, and debug DAGs and workflow scheduling in Apache Airflow.
  • Implement testing strategies and debug code to maintain data quality and consistency.
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