On-site
Full Time
What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do --- -Partner with engineers, analysts, and product managers to define technical solutions that support business goal sContribute to the architecture and implementation of distributed data systems and platform sIdentify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cos tServe as a thought leader and mentor in data engineering best practices across the organizatio n ---- Basic Qualifications -- --7+ years of hands-on experience in software engineering with a focus on data engineeri ngProficiency in at least one programming language such as Python, Java, or Sca laStrong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, MapReduce, Prest o)Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platfor msProven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholde rs ---- Preferred Qualifications - ---Deep understanding of data warehousing concepts and data modeling best practi cesHands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Pres to)Familiarity with streaming technologies such as Kafka or Sa mzaExpertise in performance optimization, query tuning, and resource-efficient data process ingStrong problem-solving skills and a track record of owning systems from design to product ion
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Technology, Information and Internet
10001 Employees
273 Jobs
Key People
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Experience: Not specified
Salary: Not disclosed
