Data Engineer Lead
New
M
MuttdataData Engineering
ArgentinaFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Advanced English Level
- Required Skills
- PythonTableauData engineeringSparkDatabricksLooker
Requirements
- Experience in Data Engineering, including building and optimizing data pipelines.
- Professional experience working with Databricks, Python, and Spark.
- Experience building batch and streaming data pipelines.
- Advanced English proficiency.
- Familiarity with BI visualization tools such as Looker or Tableau.
- Ability to define and communicate data architecture decisions.
- Experience with cloud data platforms such as AWS Redshift, Databricks, and related technologies.
- Strong skills in data migration planning and cutover execution.
- Proven ability to manage cross-functional stakeholders including engineering, analytics, and product teams.
- Ability to create and maintain project documentation including migration runbooks and testing strategies.
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.
- Translate technical changes in data pipelines, data warehouses, and platform architecture into clear business impact assessments.
- Oversee data validation processes to guarantee the accuracy, consistency, and integrity of migrated datasets against source-of-truth systems.
- Drive problem-solving and decision-making in fast-paced, ambiguous environments, helping cross-functional teams stay focused on priorities and deliverables.
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