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Scala & Hadoop Engineer - ETL/Data Ingestion

3 months ago

Anywhere in IndiaMultiple Locations Taggd Full time

Responsibilities :

- Design, develop, and implement data pipelines and ETL processes using Scala and Spark for efficient data ingestion, transformation, and loading.

- Utilize PySpark and Spark SQL for large-scale data analysis and manipulation.

- Possess strong proficiency in SQL for querying and manipulating data within Big Data platforms.

- Leverage your experience with Big Data tools and Hadoop to manage distributed data processing tasks.

- Work with DataFrames and Resilient Distributed Datasets (RDDs) for efficient data processing in Spark.

- Apply your cloud expertise to utilize AWS services like S3, Lambda, RDS, EKS, Glue, and EMR for data storage, processing, and analytics.


- Integrate messaging/data streaming services, especially Kafka, into your data pipelines.

- Work collaboratively within an Agile Scrum environment using tools like Jira.

- Implement CI/CD/CT practices for smooth software deployment and integration.

Requirements :

- Bachelor's degree in Computer Science, Information Technology, or a related field (preferred).

- 3-4 years of experience developing software applications using Scala programming language.

- In-depth knowledge of Apache Spark and its functionalities (PySpark, Spark SQL).

- Strong understanding of Big Data concepts and distributed processing frameworks.

- Proficiency in SQL for data querying and manipulation.

- Experience with cloud platforms like AWS and its Big Data services (S3, EMR, Glue, etc.) is a plus.

- Familiarity with data streaming services like Kafka is a plus.

- Experience with Agile methodologies (Scrum) and project management tools (Jira).

- Understanding of CI/CD/CT principles and practices for software delivery.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills

(ref:hirist.tech)