Java+spark+aws(Rarr Job 3336)

4 days ago

Bengaluru, India RARR Technologies Pvt Ltd Full time

For LTIMINDTREE
- 3 - 8 Years- Full Time- BANGALORE/BENGALURU, PUNE, HYDERABAD, CHENNAI**Job Skills**:
REDSHIFT

S3

SPARK

KAFKA STREAMING

APACHE SPARK

JAVA DEVELOPER

JAVA

AWS

**Position**: Java Developer with Big Data and AWS Experience
- We are seeking a highly skilled and experienced Java Developer with expertise in Big Data technologies and AWS platform to join our team.
- working with Big Data technologies such as Spark and Kafka, and leveraging the AWS platform for data processing and storage.

**Responsibilities**:

- Work with Big Data technologies, particularly Spark, for data processing and analysis.
- Utilize Kafka for streaming purposes, ensuring efficient and real-time data ingestion and processing.
- Design and implement data models, including SQL development and database administration.
- Collaborate with cross-functional teams to understand data requirements and provide support for existing ETL processes.
- Stay updated with industry trends and best practices in Big Data, Java development, and AWS services.
- Collaborate with other team members to deliver high-quality software solutions.

**Requirements**:

- Strong experience in Java development, with a deep understanding of core concepts and best practices.
- Working knowledge of Big Data technologies, particularly Spark, for large-scale data processing and analysis.
- Hands-on experience with Kafka for streaming data ingestion and processing.
- Proficiency in data modeling and SQL development, along with experience in database administration.
- Experience working with AWS platform, including Redshift and S3, for data storage and processing.
- Familiarity with ETL processes and supporting existing ETL workflows.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Ability to adapt and learn new technologies and frameworks quickly.

**Preferred Qualifications**:

- Experience with other Big Data technologies, such as Redshift or S3.
- Knowledge of data warehousing concepts and tools.
- Familiarity with data governance and security practices in the Big Data ecosystem.
- Certification in AWS or related technologies.

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