Job Description
- Python, Pyspark, GCP, ETL - Big Data/Data Warehousing, Data Analytics, SQL, Git (GitHub, Git Lab, Bit Bucket, SVN)
- 5+ years of hands-on software development experience with Big Data & Analytics solutions GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting, Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
- Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
- Experience of building event processing pipelines with Kafka or GCP PubSub.
- Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable. Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
- Strong Object-Oriented Programming skills and design patterns.
- Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
- established for Big Data Looks proactively beyond the obvious for continuous improvement opportunities.
- Communicates effectively with product and cross functional team. Willingness to learn new technologies and leverage them to their optimal potential. Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
- Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
GCP Data Engineer in Charlotte at Talent Groups
This position is listed as full time and onsite. It was posted yesterday.