Data Engineer IV

SGS Consulting; Sacramento (CA); Vor Ort; USD 120.000 - 160.000; Vollzeit

Zusammenfassung

SGS Consulting in Sacramento, CA seeks a skilled Data Engineer to design and build scalable data pipelines and architectures that power analytics across the business.

You will collaborate with cross-functional teams to identify data requirements, develop processing apps, ensure data quality through testing, and support data-driven decision making with technologies such as Hadoop, Spark, Kafka, and cloud platforms (AWS/GCP).

Qualifikationen

• Bachelor's degree in CS or related field.
• 5+ years of experience as a Data Engineer.
• Strong SQL and programming in Python or Java.
• Experience with Hadoop, Spark, or Kafka.
• Experience with cloud platforms such as AWS or GCP.
• Excellent problem-solving skills and attention to detail.

Aufgaben

• Design and develop scalable data pipelines and architectures.
• Work with cross-functional teams to identify and prioritize data requirements.
• Develop and maintain data processing and analytics applications.
• Ensure data quality and integrity through testing and validation.
• Collaborate with data scientists and analysts to support data-driven decision making.

Kenntnisse

SQL

Python or Java

Big data technologies

Data modeling

Cloud platforms AWS/GCP

Problem solving

Attention to detail

Ausbildung

Bachelor's degree in Computer Science or related field

5+ years of experience as a Data Engineer

Tools

Hadoop

Spark

Kafka

Tableau

Unidash

AWS

GCP

Jobbeschreibung

Job Responsibilities:

Design and develop scalable data pipelines and architecturesWork with cross-functional teams to identify and prioritize data requirementsDevelop and maintain data processing and analytics applicationsEnsure data quality and integrity through testing and validationCollaborate with data scientists and analysts to support data-driven decision making

Skills:

Strong knowledge of SQL and programming languages such as Python or JavaExperience with big data technologies such as Hadoop, Spark, or KafkaKnowledge of data modeling and database design principlesExperience with cloud-based data platforms such as AWS or GCPExcellent problem-solving skills and attention to detail

Data modeling and pipelining experience

SQL and PythonData visualization, Tableau and Unidash

Education/Experience:

Bachelor's degree in computer science or related field5+ years of experience as a Data Engineer