Data Engineer at Fidelity Services Group

Overview:
We are seeking a highly skilled and motivated data engineer to join our team. The ideal candidate will have a passion for working with data, a strong technical background, and experience with various data management and processing tools.

Responsibilities:

•  Design and develop data pipelines and ETL processes to extract, transform, and load data from various sources
•  Build and maintain data warehouses and data lakes to store and organize large volumes of structured and unstructured data
•  Collaborate with data engineers and analysts to understand data requirements and implement solutions to meet their needs
•  Optimize data storage and processing systems for performance, scalability, and reliability
•  Monitor and troubleshoot data pipelines and systems to ensure data quality and integrity
•  Stay current with emerging technologies and trends in data engineering to continuously improve our data infrastructure

Qualifications:

•  Bachelor's degree in Computer Science, Engineering, or a related field
•  Minimum of 3 years of experience in data engineering or a similar role
•  Proficiency in programming languages such as Python, SQL, and Java
•  Experience with data processing frameworks such as Apache Spark, Hadoop, or Flink
•  Knowledge of database technologies like MySQL, PostgreSQL, and NoSQL databases
•  Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
•  Strong problem-solving skills and attention to detail
•  Excellent communication and collaboration skills

Preferred Qualifications:

•  Master's degree in a related field
•  Certification in data engineering or cloud computing
•  Experience with stream processing technologies such as Kafka or Apache Storm
•  Knowledge of machine learning algorithms and tools