Databricks SME

August Schell • Rockville, MD

6d

About The Position

We are looking for a highly skilled Data Engineer with expert-level knowledge to assume a key role in managing data, both at rest and in streaming, and to lead efforts in data management and optimization. Your proficiency in ETL pipeline development, data tools and your deep understanding of data management principles will be instrumental in ensuring our data infrastructure operates efficiently.

Requirements

• 5+ years’ experience as a Data Engineer with a deep understanding of data management, ETL pipelines and streaming data.
• 5+ years’ experience writing code using Python, Scala and/or Java.
• Consultant-level, expert experience in Databricks.
• Apache Spark experience (mandatory).
• 2+ years’ expertise in Databricks, Apache Spark, Snowflake and/or similar data processing frameworks.
• BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a data engineer.

Nice To Haves

• Experience with data streaming technologies (e.g., Apache Kafka, Apache Flink) and real-time data processing.
• Familiarity with AI and machine learning concepts and the ability to work with data scientists and AI engineers.
• Experience working on SQL or NoSQL data stores.
• Proficiency in tools like Cribl, Airflow or similar for data pipeline orchestration and transformation.
• Knowledge of data security and compliance principles.

Responsibilities

• Provide technical leadership in data management, overseeing data at rest and data streaming, and guiding the team.
• Design, develop, and maintain efficient ETL pipelines to process and transform data, ensuring data quality, integrity, and consistency.
• Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities.
• Manage streaming data sources and implement real-time data processing solutions using tools like Apache Kafka or similar technologies.
• Implement and manage data routing, transformation, and enrichment using Cribl or similar data pipeline orchestration tools.
• Work on data optimization initiatives, including performance tuning, indexing, and data compression, to ensure efficient data storage and retrieval.
• Collaborate with security teams to ensure data security and compliance with data privacy regulations.
• Build comprehensive documentation for data management processes, ETL pipelines, and facilitating knowledge transfer within the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior