Senior Data Engineer
Herzliya, Israel, IL
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Dynamic software development services company delivering supreme architectural and technical expertise and in-depth consultancyDescription
As a Senior Data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL/ELT processes, working closely with architects and development teams.
Your duties and responsibilities include:
- Lead the design and implementation of scalable data architecture solutions.
- Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
- Identify ways to improve data reliability, efficiency, and quality.
- Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
- Optimize complex SQL queries and perform performance tuning.
- Participate in Scrum and Agile development processes.
- Implement and manage relational and non-relational databases.
Requirements
Must-have Qualifications
- 5+ years of experience leading, designing, and implementing data architecture at an enterprise level.
- 5+ years of experience working with relational databases (for example, PostgreSQL, MSSQL or MySQL).
- 2+ years of experience working with Elasticsearch.
- 2+ years of experience working with non-relational databases (for example, MongoDB or Cassandra).
- Be exceptionally strong in SQL development - complex queries and performance tuning.
- Implement and manage ETL/ELT processes for data integration and transformation.
- Proficiency in Azure and Azure Data Factory for data integration and transformation.
- Experience with Databricks or similar data processing platforms.
- Experience with Scrum and Agile methodology.
- Fluent in spoken and written English.
Advantages
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with data warehousing solutions.
- Knowledge of data governance and data security practices.
- Certification in Azure or other relevant technologies.
- University or college degree in Computer Science or a related discipline.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Big Data Cassandra Computer Science Databricks Data governance Data Warehousing Elasticsearch ELT ETL Hadoop Kafka MongoDB MS SQL MySQL PostgreSQL R R&D RDBMS Scrum Security Spark SQL
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