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Bohdana Rubets

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Intellias is looking for Big Data Engineer with Telecom experience.

• Collaborate with business stakeholders and technical teams to understand and analyze data requirements
• Support the design and implementation of data models and database structures that meet business needs
• Profile, refactor, and optimize performance in database systems
• Implement ETL processes to extract, transform, and load data from various source systems into the data warehouse
• Ensure data integrity, consistency, and accuracy through data quality assurance measures
• Review and support team members, providing guidance and mentorship

• 3+ years of experience
• Knowledge and understanding of OLAP technologies
• Experience in building data warehouses and data extraction, processing, and transformation processes based on MPP architecture;
• Experience in database schema design and dimensional data modeling
• Knowledge and extensive experience using SQL
• Knowledge of Java or Python as process automation stacks
• Experience in working with No SQL databases such as HBase and Elasticsearch. Knowledge of Redis DB, and Mongo DB can be helpful;
• Experience in working with DBMS for the analysis of large data such as Vertica will be appropriate;
• Understanding of building distributed clusters like Spark, Hadoop, and others
• Understanding and experience with message broker systems such as Kafka
• Understanding of building and experience with data governance tools
• Experience building and using data analytics and data science workbench;
• experience working with Ezmeral Data Fabric will be a plus.
• experience working with Data governance will be a plus
• experience working with large amount of data (Peta Bytes) will be a plus
• Knowledge of UNIX with experience using Shell for automation tasks
• Telecom experience will be a plus
• Knowledge of technical English

Airflow
dbt
Hadoop
HBase
Hive
Kafka
Python
Spark