Big Data Engineer in lifecell

About position:At this position you will work with data about customers activity in one of the largest telecom operators on the market. You will develop ETL processes and data pipelines in data platforms: Data Warehouse, BI and reporting systems and Hadoop Data Platform. You will participate in development and integration of data driven products and services for internal and B2B clients.Responsibilities:Work with analysts and business stakeholders to clarify their requirementsDevelop ETL processes, implementing new or extending existing data martsDesign and develop data processing pipelines in Hadoop data platform, for both batch and streaming modesParticipate in implementation and integration of new data sourcesDevelop API for integration of external systems with data platformsPerform root-cause analysis of data pipelines issues, bug fixing and performance tuningDrive data quality and manage SLA's for the data platformsMinimum Qualification:3+ years of experience as a Data Engineer or Database DeveloperExperience with RDBMS's like Oracle or MySQL, experience in SQL and PL/SQL development and performance tuningKnowledge of Data warehouse concepts and experience in ETL developmentProficiency of PythonExperience with Big Data technologies such as Hadoop, Spark, Hive, Kafka, HBase, Sqoop and other toolsExperience in implementation of Machine Learning pipelines using Spark ML or Scikit-learn would be advantageExperience in Telecom domain would be advantageGood analytical and problem solving skills