Sign upLog in

Customer Support Service Manager

Ova Technologies

Alpharetta, GA

Apply
JOB DETAILS
SKILLS
Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache, Apache Cassandra, Apache Hadoop, Apache Kafka, Apache Spark, Automation, Big Data, Cloud Computing, Computer Programming, Computer Science, Customer Service Management, Customer Support/Service, Data Analysis, Data Lake, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Data Visualization Tools, Data Warehousing, Data Warehousing Software, Database Administration, Database Extract Transform and Load (ETL), Distributed Computing, Docker, Electronic Medical Records, GCP (Good Clinical Practices), Information Technology & Information Systems, Information/Data Security (InfoSec), Java, Microsoft Windows Azure, MongoDB, MySQL, NoSQL, PostgreSQL, Power BI, Python Programming/Scripting Language, SQL (Structured Query Language), SQL Databases, Scala Programming Language, Snowflake Schema, Software Engineering, Star Schema, Systems Administration/Management, Tableau
LOCATION
Alpharetta, GA
POSTED
30+ days ago
A Data Engineer typically requires 3 6 years of experience in designing, building, and optimizing big data pipelines, architectures, and data sets . Key experience includes proficiency in SQL, Python/Scala/Java, ETL processes, and cloud platforms (AWS, Azure, or GCP). Candidates should possess strong skills in data modeling, warehousing (Snowflake, Redshift), and distributed systems like Spark or Kafka.

Core Experience & Qualifications
  • Technical Proficiency: 3-5+ years of experience in data engineering, data warehousing, or software engineering roles.
  • Data Pipelines (ETL/ELT): Extensive experience in designing, building, and maintaining robust, scalable data pipelines.
  • Languages: Strong programming skills in Python, Java, or Scala for data processing and automation.
  • SQL & Database Management: Expert-level SQL skills for querying and manipulating data in relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
  • Big Data Technologies: Hands-on experience with Apache Spark, Hadoop, Kafka, or similar frameworks for large-scale data processing.
  • Cloud Platforms: Experience with cloud services such as AWS (S3, EMR, Redshift), Azure (Data Factory, Data Lake), or GCP.
Key Responsibilities & Competencies
  • Data Modeling & Warehousing: Designing efficient, secure data models (star/snowflake schemas).
  • Data Infrastructure: Managing data storage systems and ensuring data quality and security.
  • Collaboration: Working with data scientists and analysts to support data-driven initiatives.
  • Tools: Familiarity with workflow orchestration tools like Apache Airflow.
Education & Education Background
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
Preferred Skills
  • Experience with containerization tools (Docker, Kubernetes).
  • Knowledge of data visualization tools (Tableau, Power BI).
  • Certifications in cloud platforms (AWS, GCP) or big data technologies.

About the Company

O

Ova Technologies

Resume Resources

Free Resume TemplatesFree Resume Builder