Apply📍 United States of America
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 5 years of experience or Master’s degree in Computer Science, Computer Engineering, Information Systems, Information Systems Engineering or a related field and 3 years of related professional experience.
- Advanced SQL knowledge and experience working with relational databases, including Snowflake, Oracle, Redshift.
- Experience with AWS or Azure cloud platforms
- Experience with data pipeline and workflow scheduling tools: Apache Airflow, Informatica.
- Experience with ETL/ELT tools and data processing techniques
- Experience in database design, development, and modeling
- 3 years of related professional experience with object-oriented languages: Python, Java, and Scala
- Design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure
- Design metadata and schemas for assigned projects based on a logical model
- Create scripts for physical data layout
- Write scripts to load test data
- Validate schema design
- Develop and implement node cluster models for unstructured data storage and metadata
- Design advanced level Structured Query Language (SQL), data definition language (DDL) and Python scripts
- Define, design, and implement data management, storage, backup and recovery solutions
- Design automated software deployment functionality
- Monitor structural performance and utilization, identifying problems and implements solutions
- Lead the creation of standards, best practices and new processes for operational integration of new technology solutions
- Ensures environments are compliant with defined standards and operational procedures
- Implement measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems
AWSPythonSQLApache AirflowCloud ComputingETLJavaOracleSnowflakeAzureData engineeringScalaData modelingData management
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