Senior Associate Data Engineer ETL Cloud Data Platforms

Ankura's Digital Practice is seeking a Senior Associate Data Engineer to design, build, and maintain scalable ETL/ELT pipelines on cloud data platforms. The role involves working with data integration, transformation, and collaboration with analytics teams, with a focus on cloud technologies and data engineering best practices.

Location: Buenos Aires, Argentina (remote possible within Argentina)

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.
• Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.
• Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.
• Work with structured and semi-structured data from multiple source systems (APIs, databases, files).
• Collaborate with analytics, BI, and data science teams to deliver curated, analytics-ready datasets.
• Implement data quality checks, logging, monitoring, and error handling.
• Participate in technical design discussions, effort estimates, and sprint planning.
• Produce clear and maintainable technical documentation.

Requirements

• 2–6+ years of experience in data engineering or ETL development.
• Hands-on experience with cloud data platforms (Azure, AWS, or GCP).
• Experience with ETL / orchestration tools (e.g., Data Factory, Airflow, Informatica, Fivetran).
• Experience with Databricks, Snowflake, or similar analytics platforms.
• Strong proficiency in Python and SQL.
• Solid understanding of data modeling, data warehousing, and ETL best practices.
• Strong attention to detail and disciplined engineering practices.