
SW Engineer (Testing in Data Engineering)
Salary undisclosed
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- Bachelor's degree in Computer Science or equivalent field, OR 3+ years of relevant work experience
- Bachelor's degree in Computer Science or equivalent field with 6-24months relevant working experience in the industry
- Proven experience in software development in Test, particularly in data-centric projects, demonstrating adherence to standard development best practices
- Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems
- Proficiency in Java programming
- Hands-on experience with Big Data technologies such as Hadoop, Spark, and Hive
- Strong knowledge of Unix/Linux operating systems and Shell Scripting
- Proficiency in working with RDBMS, SQL and In-memory DB such as Redis
- Familiarity with version control systems, specifically Git
- Experience working within an Agile framework
- Experience with Kafka, Mock data service a good to have
- Experience with Load Runner is highly advantageous e
- Familiarity with AI concepts and tools, including GitHub Copilot for code development
- Exposure to AI/ML development is an added advantage
- Proficiency in working with In-memory Databases like Redis
- Strong verbal and written communication skills, with a proactive and self-motivated approach to improving existing processes to enable faster iterations.
- Demonstrated intellectual and analytical rigor, with a keen attention to detail
- Team-oriented, energetic, and collaborative approach to work, coupled with a diplomatic and adaptable style
- Bachelor's degree in Computer Science or equivalent field, OR 3+ years of relevant work experience
- Bachelor's degree in Computer Science or equivalent field with 6-24months relevant working experience in the industry
- Proven experience in software development in Test, particularly in data-centric projects, demonstrating adherence to standard development best practices
- Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems
- Proficiency in Java programming
- Hands-on experience with Big Data technologies such as Hadoop, Spark, and Hive
- Strong knowledge of Unix/Linux operating systems and Shell Scripting
- Proficiency in working with RDBMS, SQL and In-memory DB such as Redis
- Familiarity with version control systems, specifically Git
- Experience working within an Agile framework
- Experience with Kafka, Mock data service a good to have
- Experience with Load Runner is highly advantageous e
- Familiarity with AI concepts and tools, including GitHub Copilot for code development
- Exposure to AI/ML development is an added advantage
- Proficiency in working with In-memory Databases like Redis
- Strong verbal and written communication skills, with a proactive and self-motivated approach to improving existing processes to enable faster iterations.
- Demonstrated intellectual and analytical rigor, with a keen attention to detail
- Team-oriented, energetic, and collaborative approach to work, coupled with a diplomatic and adaptable style