Spark_Scala Developer

Infosys; Bengaluru; Presencial; INR 1.800.000 - 2.400.000; Tempo integral

Resumo da vaga

Infosys in Bengaluru is seeking a data engineering professional with strong Scala and Spark skills to join the delivery team. You will design and review architectures, build scalable ETL pipelines, and work with Python, Hadoop/Hive, AWS to ensure high-quality outcomes in a dynamic client environment.

This role requires collaboration across cross-functional teams, adherence to best practices, and a focus on performance optimization and continuous learning.

Qualificações

• 2+ years in software development with Scala.
• Experience designing and building large-scale data pipelines.
• Strong knowledge of Spark, Spark SQL and Spark Streaming.
• Experience with Python, Hadoop/Hive and Big Data tools.
• Familiarity with ETL concepts and data warehousing.
• Ability to work in Agile environments and Scrum ceremonies.
• Excellent communication and collaboration skills.

Responsabilidades

• Interface with clients for quality assurance, issue resolution and ensuring high customer satisfaction.
• Understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
• Participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
• Lead and guide teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to guidelines and processes.
• Be a key contributor to building efficient programs/systems and help clients navigate their digital transformation journey.

Conhecimentos

Scala programming

Apache Spark

Python

Hadoop / Hive

SQL / NoSQL databases

Data structures

AWS (Glue/EMR)

Unix shell scripting

Big data processing

Formação

Bachelor of Engineering

Bachelor Of Technology

Ferramentas

Scala

Spark Core

Spark SQL

Hive

AWS EMR/Glue

SQL/NoSQL databases

Descrição da vaga

Job Description

A day in the life of an Infoscion

• As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
• You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
• You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
• You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
• You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Roles Responsibilities

• At least 2+ years of experience and strong knowledge in Scala programming language.
• Able to write clean, maintainable and efficient Scala code following best practices.
• Good knowledge on the fundamental Data Structures and their usage
• At least 5+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies.
• Having expertise in Spark Core, Spark SQL and Spark Streaming.
• Experience with Python, Hadoop, HDFS, Hive and other BigData technologies.
• Familiarity with Data warehousing and ETL concepts and techniques
• Working Knowledge in AWS (Glue EMR) etc. is good to have.
• Having expertise in Database concepts and SQL/NoSQL operations.
• UNIX shell scripting will be an added advantage in scheduling/running application jobs.
• At least 2+ years of experience in Project development life cycle activities and maintenance/support projects.
• Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
• Understand project requirements and translate them into technical solutions which meets the project quality standards
• Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
• Strong problem solving and Good Analytical skills.
• Excellent verbal and written communication skills.
• Experience and desire to work in a Global delivery environment.
• Stay up to date with new technologies and industry trends in Development.

Educational Requirement

Bachelor of Engineering,Bachelor Of Technology

Preferred Skills

Technology->Data Engineering->Spark->SparkSQL,Technology->Java->Apache->Spark

Service Line

Data Analytics Unit