Senior Data Engineer

September 26

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LigaData

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Big Data • Open Source • Data Science • Real-time • Continuous decisioning

51 - 200 employees

🤖 Artificial Intelligence

📡 Telecommunications

🤝 B2B

Description

• Collaborate with team to implement and deliver data solutions. • Identify, troubleshoot and resolve production data Issues. • Implement data services solutions (data ingestion, data processing, APIs, computations). • Implement and develop data quality control. • Business intelligence and report generation development. • Develop data set processes. • Design data models. • Analyze complex business use cases. • Propose & develop new tools to speed up processes or fix repetitive problems. • Improve Documentation templates and Building Documentations. • Align architecture with business requirements.

Requirements

• You possess at least a BS in Computer Science or related field. • You have a good command of the English language. • Technical background with 5 + years of relevant experience as a Data Engineering. • You possess robust expertise in SQL development as well as in constructing reports and dashboards. • Good understanding of BI – Data warehouse DB Concepts. • You have a structured approach to development (measuring, monitoring, and testing). • You possess a good understanding in programming and OOP concepts. • Previous experience with Bigdata - hive/Nifi/Impala/Spark. • You have experience in API concepts. • Previous experience with Telcom domain is plus. • Cloud Data Engineer, Data Analysis or any Cloud related experience is a plus. • Technical Skills: SQL Queries, OOP (Object Oriented Programming),Spark, Linux, Web API usage, Kafka, Scala, Hadoop Basic Operations, Hadoop Solution Components, SQL Aggregations and Python / Shell Script, Shell, Regular expressions, BI - Data warehouse DB concepts, GitHub, Jenkins, Talend Nifi, Azure Storage, Snappy, Azure Data Factory, HDInsight and Kubernetes.