Spark/Java/Flink Sr Data Engineer
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
VHL Technologies
Fitment
Dice Job Match Score™
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Job Details
Skills
- Problem Solving
- Apache Flink
- Apache Kafka
- Apache Spark
- Java
- Extract, Transform, Load
Summary
Job Title: Senior Data Engineer (Spark/Java/Flink)
Location: Phoenix, AZ (Hybrid)
Duration: Long-Term Contract
Location: Phoenix, AZ (Hybrid)
Duration: Long-Term Contract
Experience Level : 12+ Yrs
Job Description:
We are looking for a Senior Data Engineer with strong experience in Java, Spark, Flink, Kafka, and ETL development for a long-term hybrid opportunity in Phoenix, AZ. The ideal candidate should have 11+ Years experience with hands-on experience building scalable real-time data processing and integration solutions.
Required Skills:
• Strong experience with Java and Apache Spark
• Hands-on experience with Apache Flink and Kafka for real-time streaming/integration
• Experience in ETL development and large-scale data processing
• Good understanding of distributed systems and big data technologies
• Strong problem-solving and communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90982944
- Position Id: SDESFJ2505
- Posted 5 hours ago
Company Info
About VHL Technologies
OUR CORE EXPERTISE
We have a large pool of expert resources that specialize in all aspects of the Big Data Technology stack including Spark SQL, spark streaming, Hive, Pig, Storm, Hbase and MongoDB, Cassandra, Redis and other NoSql technologies. We take pride in partnering with companies to help them harness the power of big data, enabling advanced analytics, AI, BI and deep learning. We are obsessed with all things data and our vision is to enable companies explore and monetize massive amounts of unexplored data assets at the speed of thought.
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