Vacancy expired!
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with Python and experience with libraries such as pandas and numpy.
- Experience with pyspark.
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres
- Experience with data pipeline and workflow management tools: AWS Glue, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, etc.
- Prior experience with writing and debugging python (5 years)
- Prior experience with building data pipelines. (5 years)
- Prior experience Data lakes in an aws environment (3 years)
- Prior experience with Data warehouse technologies in an aws environment (3 years)
- Prior experience with AWS EMR (2 years)
- Prior experience with pyspark (2 years)
Vacancy expired!