Website:
altraize.com
Job details:
10+ years of hands-on data engineering experience, including technical leadership of data platform initiatives
- Strong, hands-on expertise with the Databricks Lakehouse Platform, including Delta Lake, Delta Live Tables, Databricks Workflows, and Unity Catalog
- Proven experience designing and implementing the medallion (bronze/silver/gold) architecture for data ingestion, curation, and consumption
- Strong expertise in distributed data processing using Apache Spark (PySpark and Spark SQL) or equivalent big-data frameworks
- Proven experience designing and building ETL/ELT pipelines for both batch and streaming data at scale
- Expert-level proficiency in Python and SQL for data transformation, validation, and pipeline development
- Strong experience building and managing data lakes and data warehouses, including dimensional and lakehouse data modeling
- Working knowledge of Large Language Models (LLMs) and GenAI concepts — prompts, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) — and the data pipelines required to support them
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services
- Proven experience leading large-scale data migrations from on-premise (e.g. Hadoop) and cloud platforms to modern data architectures
- Strong understanding of distributed data processing, partitioning, and performance optimization techniques
- Experience implementing data security, governance, lineage, and access control (e.g. IAM, encryption, cataloging)
- Strong understanding of object-oriented programming, software design patterns, and CI/CD practices
- Familiarity with Agile/Scrum delivery methodologies and experience mentoring engineers
- Excellent problem-solving, analytical, and stakeholder-management skills
- Strong verbal and written communication skills
Skills: pipelines,data,aws
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