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OT

Customer Support Service Manager

Ova Technologies
πŸ‡ΊπŸ‡Έ 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
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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.

Customer Support Service Manager Β· Ova Technologies

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