TLVTech
11 - 50 employees
đ€ B2B
âïž SaaS
đ€ Artificial Intelligence
B2B âą SaaS âą Artificial Intelligence
TLVTech is a leading Israeli technology company providing a wide range of software development and consulting services. Specializing in custom software solutions, TLVTech supports startups, SMBs, and enterprises with its expertise in AI development, fullstack development, mobile app development, and DevOps services. The company offers Fractional CTO services, guiding businesses in tech strategy, team building, R&D management, and more. With a strong emphasis on modern technologies and agile methodologies, TLVTech aims to deliver tailored and efficient software solutions that align with its clients' unique needs. Renowned for its high engineering standards and seamless communication, TLVTech is trusted by next-generation startups and leading companies worldwide.
Senior Data Engineer
Job not on LinkedIn
đ April 1
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TLVTech
11 - 50 employees
đ€ B2B
âïž SaaS
đ€ Artificial Intelligence
B2B âą SaaS âą Artificial Intelligence
TLVTech is a leading Israeli technology company providing a wide range of software development and consulting services. Specializing in custom software solutions, TLVTech supports startups, SMBs, and enterprises with its expertise in AI development, fullstack development, mobile app development, and DevOps services. The company offers Fractional CTO services, guiding businesses in tech strategy, team building, R&D management, and more. With a strong emphasis on modern technologies and agile methodologies, TLVTech aims to deliver tailored and efficient software solutions that align with its clients' unique needs. Renowned for its high engineering standards and seamless communication, TLVTech is trusted by next-generation startups and leading companies worldwide.
đ Description
âą Design and maintain scalable data pipelines with Spark Structured Streaming. âą Implement Lakehouse architecture with Apache Iceberg. âą Develop ETL processes for data transformation. âą Ensure data integrity, quality, and governance. âą Collaborate with stakeholders and IT teams for seamless solution integration. âą Optimize data processing workflows and performance.
đŻ Requirements
âą 5+ years in data engineering. âą Expertise in Apache Spark and Spark Structured Streaming. âą Hands-on experience with Apache Iceberg or similar data lakes. âą Proficiency in Scala, Java, or Python. âą Knowledge of big data technologies (Hadoop, Hive, Presto). âą Experience with cloud platforms (AWS, Azure, GCP) and SQL. âą Strong problem-solving, communication, and collaboration skills.
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