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Senior Data Engineer @ Virtusa

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 Senior Data Engineer

Job Description


6+ years of experience with Java Spark.
Strong understanding of distributed computing, big data principles, and batch/stream processing.
Proficiency in working with AWS services such as S3, EMR, Glue, Lambda, and Athena.
Experience with Data Lake architectures and handling large volumes of structured and unstructured data.
Familiarity with various data formats.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Design, develop, and optimize large-scale data processing pipelines using Java Spark
Build scalable solutions to manage data ingestion, transformation, and storage in AWS-based Data Lake environments.
Collaborate with data architects and analysts to implement data models and workflows aligned with business requirements.
Ensure performance tuning, fault tolerance, and reliability of distributed data processing systems.

Job Classification

Industry: Banking
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Virtusa
Location(s): Hyderabad

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Keyskills:   aws iam distributed computing stream processing spark big data hive glue scala apache pig emr sql java data ingestion hadoop data lake hbase python performance tuning oozie data processing data engineering lambda expressions athena sqoop aws

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Virtusa

Virtusa is a leading worldwide provider of information technology (IT) consulting and outsourcing services. We help accelerate business outcomes for Global 2000 businesses in banking and financial services, insurance, healthcare, telecommunications and media.