Data Engineer Lead
M
MuttdataData Engineering, AI
ArgentinaFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Advanced English Level
- Required Skills
- PythonTableauData engineeringSparkDatabricksLooker
Requirements
- Proven experience in Data Engineering, including building and optimizing data pipelines.
- Strong proficiency with Databricks, Python, and Spark.
- Advanced English language proficiency.
- Experience building both batch and streaming data processes.
- Familiarity with BI visualization tools such as Looker or Tableau.
- Demonstrated ability to drive problem-solving in fast-paced, ambiguous environments.
- Experience in defining and documenting data architecture requirements and acceptance criteria.
- Ability to manage technical migration risks and escalate blockers effectively.
Responsibilities
- Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.
- Define and communicate data architecture decisions, evaluating impacts, risks, and performance considerations across cloud data platforms such as AWS Redshift, Databricks, and related technologies.
- Coordinate the discovery and documentation of dependencies, schema inventories, data flows, and critical processes involved in migration efforts.
- Own migration and cutover planning, ensuring all activities, validations, and contingency measures are properly defined and executed.
- Serve as the primary liaison between engineering, analytics, product, and business stakeholders, facilitating clear communication and alignment throughout the project lifecycle.
- Oversee data validation processes to guarantee the accuracy, consistency, and integrity of migrated datasets.
- Create, maintain, and improve project documentation, including migration runbooks, testing strategies, rollback plans, and operational procedures.
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