Overview
Schedule
Full-time
Career level
Senior-level
Remote
On-site
Job Description
What we are looking for… 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.What you will do...
- Data Management Leadership: Provide technical leadership in data management, overseeing data at rest and data streaming, and guiding the team.
- ETL Pipeline Development: Design, develop, and maintain efficient ETL pipelines to process and transform data, ensuring data quality, integrity, and consistency.
- Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities.
- Streaming Data: Manage streaming data sources and implement real-Ime data processing solutions using tools like Apache Kana or similar technologies.
- Data Transformation: Implement and manage data routing, transformation, and enrichment using Cribl or similar data pipeline orchestration tools.
- Data Optimization: Work on data optimization initiatives, including performance tuning, indexing, and data compression, to ensure efficient data storage and retrieval.
- Data Security and Compliance: Collaborate with security teams to ensure data security and compliance with data privacy regulations.
- Documentation: Build comprehensive documentation for data management processes, ETL pipelines, and facilitating knowledge transfer within the team.
- 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.
- 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.
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FAQs About Databricks SME Jobs at August Schell
What is the work location for this position at August Schell?
This job at August Schell is located in Rockville, MD, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at August Schell?
Employer has not shared pay details for this role.
What employment applies to this position at August Schell?
August Schell lists this role as a Full-time position.
What experience level is required for this role at August Schell?
August Schell is looking for a candidate with "Senior-level" experience level.
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