Hi,
Greetings of the day…!
Please go through JD and revert ASAP
Title: Scala Sparks Developer / Big Data Developer
Location: NYC, NY (Hybrid)
Duration: 6 months
Job Summary:
Key Responsibilities
- Develop, test, and maintain scalable data processing pipelines using Scala and Apache Spark.
- Implement data transformation and ETL workflows to handle structured and unstructured data.
- Utilize Python for data processing, scripting, and integrating Spark workflows.
- Optimize performance of Spark applications through tuning, partitioning, and caching strategies.
- Participate in code reviews, design discussions, and ensure adherence to best practices.
- Document workflows, architecture, and solutions for internal knowledge sharing.
Required Qualifications
- Strong experience in Scala and Apache Spark (Spark Core, Spark SQL, Data Frames, RDDs).
- Proficiency in Python for data manipulation, scripting, and automation.
- Proven experience with distributed computing concepts and large-scale data processing.
- Knowledge of ETL development, data warehousing, and data modelling techniques.
- Familiarity with Big Data ecosystems such as Hadoop, Hive, Kafka, or HBase is a plus.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with cloud platforms such as AWS, GCP, or Azure (particularly with Spark services).
- Familiarity with streaming data processing using Spark Streaming or Structured Streaming.
- Knowledge of data governance, security, and compliance practices.
- Basic understanding of machine learning workflows is advantageous.
Thanks & Regards Teja Theegala
Recruiter- US IT
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