OT
Customer Support Service Manager
Ova Technologies
πΊπΈ United States
On-site
Manager or above
7 months ago
- SQL
- Python
- Scala
- Java
- ETL
- AWS
- Azure
- GCP
- Data Modeling
- Snowflake
- Redshift
- ELT
- PostgreSQL
- MySQL
- NoSQL
- MongoDB
- Cassandra
- Apache Spark
- Hadoop
- AWS S3
- EMR
- Azure Data Factory
- Apache Airflow
- Docker
- Kubernetes
- Data Visualization
- Tableau
- Power BI
7 months ago
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.
- 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.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
- Experience with containerization tools (Docker, Kubernetes).
- Knowledge of data visualization tools (Tableau, Power BI).
- Certifications in cloud platforms (AWS, GCP) or big data technologies.
Customer Support Service Manager Β· Ova Technologies