Spark Developer - HYBRID - ONSITE Interview

Spark Developer - HYBRID - ONSITE Interview

Key Responsibilities:

Migrate Cascading, Hadoop, and MapReduce workflows to Spark 3.

Optimize data pipelines using Spark 3 features like Adaptive Query Execution

(AQE) and Dynamic Partition Pruning.

Develop scalable solutions integrated with big data platforms and cloud

environments.

Align modernization initiatives with infrastructure teams and organizational goals.

Required Skills:

3+ years of experience with Apache Spark (Spark 3.x required).

Hands-on experience transitioning from Cascading, Hadoop, or MapReduce to

Spark 3.

Proficiency in Scala, Python, or Java.

Strong understanding of Hadoop, Hive, and Kafka.

Expertise in profiling and optimizing Spark jobs.

Familiarity with AWS (EMR, Glue, S3) or Azure (Databricks, Data Lake).

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.

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Dice Id:

10455060

Position Id:

10292025