Big Data Engineer (offline)
Functional Requirements:
• 3+ years of experience as a Data Engineer or Database Developer.
• Experience with RDBMS’s like Oracle or MySQL, experience in SQL and PL/SQL development and performance tuning.
• Knowledge of Data warehouse concepts and experience in ETL development.
• Proficiency in Python.
• Experience with Big Data technologies such as Hadoop, Spark, Hive, Kafka, HBase, Sqoop and other tools.
• Experience in the implementation of Machine Learning pipelines using Spark ML or Scikit-learn would be an advantage.
• Experience in Telecom domain would be an advantage.
• Good analytical and problem-solving skills.
Responsibilities:
1. Work with analysts and business stakeholders to clarify their requirements.
2. Develop ETL processes, implementing new or extending existing data marts.
3. Design and develop data processing pipelines for both batch and streaming modes in the Hadoop data platform.
4. Participate in the implementation and integration of new data sources.
5. Develop API for integration of external systems with data platforms.
6. Perform root-cause analysis of data pipeline issues, bug fixing and performance tuning.
7. Drive data quality and manage SLA’s for the data platforms.
• 3+ years of experience as a Data Engineer or Database Developer.
• Experience with RDBMS’s like Oracle or MySQL, experience in SQL and PL/SQL development and performance tuning.
• Knowledge of Data warehouse concepts and experience in ETL development.
• Proficiency in Python.
• Experience with Big Data technologies such as Hadoop, Spark, Hive, Kafka, HBase, Sqoop and other tools.
• Experience in the implementation of Machine Learning pipelines using Spark ML or Scikit-learn would be an advantage.
• Experience in Telecom domain would be an advantage.
• Good analytical and problem-solving skills.
Responsibilities:
1. Work with analysts and business stakeholders to clarify their requirements.
2. Develop ETL processes, implementing new or extending existing data marts.
3. Design and develop data processing pipelines for both batch and streaming modes in the Hadoop data platform.
4. Participate in the implementation and integration of new data sources.
5. Develop API for integration of external systems with data platforms.
6. Perform root-cause analysis of data pipeline issues, bug fixing and performance tuning.
7. Drive data quality and manage SLA’s for the data platforms.
About lifecell Ukraine
lifecell is a Ukrainian telecommunications operator providing mobile communication and data transfer services based on high-speed Internet. lifecell is owned by Turkcell, Turkey's largest provider of converged telecommunications and technology services. Turkcell is listed on the New York Stock Exchange (NYSE) and Borsa Istanbul (BIST).lifecell is experienced in development of its own BSS solution for telecommunication and service providers, Big Data and Data Science. lifecell software products are used not only by Turkcell group companies but also by other providers.
Mature BSS suite includes telco CRM, Bulk Messaging System Omnicell, Intellectual Traffic Routing, Order Management and Orchestration, Product Catalogue, Campaign Management and other products.
lifecell IT Team means:
70+ software developers
20+ products in the portfolio
10M+ subscribers served (Ukraine and Belarus)
We guarantee interesting and various projects. Welcome to our great team!
Company website:
https://www.lifecell.ua/uk/
DOU company page:
https://jobs.dou.ua/companies/lifecell/
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