
Data Specialist
2 weeks ago
We are seeking a Data Engineer with experience in Spark and Kafka to operate with one of our large Federal Government Clients.
Responsibilities:- Maintain and develop Spark pipelines to process large-scale data sets.
- Ingest tables into our data lake from Kafka using batch processing, micro-batching, or real-time processing techniques.
- Run Spark jobs for ingestion, curation, and extraction of data.
- Alter schemas and configs to meet business requirements and ensure data quality.
- Attend meetings regarding data ingestion and collaborate with cross-functional teams to ensure successful data integration.
- Troubleshoot and resolve bugs in the data processing pipelines.
- Monitor performance and troubleshoot issues using logging and monitoring tools.
- Document best practices and develop standards for data processing pipelines.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in data engineering, software development, or a related field.
- Strong programming skills in Scala, Python, or Java.
- Expertise in Spark, Kafka, and big data processing concepts.
- Experience with data storage solutions, such as Hadoop HDFS or Amazon S3, and data serialization formats.
- Knowledge of database concepts, data modelling, schema design, and normalisation.
- Familiarity with monitoring and logging tools, and workflow management tools, such as Apache Airflow.
- Experience with version control systems, such as Git.
- Strong communication, problem-solving, and collaboration abilities.
- Ability to work independently and in a team-oriented, collaborative environment.
Suitable candidates must have a Baseline (NV1 preferred) Security Clearance.
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