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Spark Engineer @ Tudip Technologies

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 Spark Engineer

Job Description

We are seeking an entry-level Spark Engineer with at least 1 year of experience working with Apache Spark to join our Data engineering team. In this role, you will assist in developing, optimizing, and supporting Spark-based applications and data pipelines. You will work alongside senior engineers and Data scientists to ensure the effective use of Spark for large-scale data processing and analytics. This is a great opportunity to enhance your skills while supporting Spark jobs in a dynamic and fast-paced environment.
Please read the job criteria below and drop us an email at jo***s@tu**p.com OR create an account at our Recruitment Portal to get started.
Roles & Responsibilities
  • Assist in monitoring, troubleshooting, and supporting Spark-based data processing jobs, ensuring optimal performance and reliability.
  • Collaborate with senior engineers to design, build, and optimize Spark jobs and data pipelines for large-scale data processing and analytics tasks.
  • Identify and resolve performance bottlenecks, errors, and failures in Spark applications by analyzing logs and job execution data.
  • Monitor the health and performance of Spark clusters, recommend improvements, and implement fixes as needed.
  • Work with data engineers and data scientists to understand data processing requirements and provide technical support for data-driven applications.
  • Assist in documenting Spark job configurations, processes, and troubleshooting steps for knowledge sharing and team collaboration.
  • Keep up with new developments in Apache Spark and related big data technologies, and apply best practices for performance, scalability, and data integrity.
Job Requirements/Qualifications
  • At least 1 year of experience working with Apache Spark in a production or development environment.
  • Educational Qualification: BE/BTech (CS/IT), MCA from a reputed institute.
  • Hands-on experience with Spark SQL, DataFrames, and RDDs.
  • Knowledge of big data processing concepts and distributed computing.
  • Familiarity with Spark cluster management tools like YARN, Mesos, or Kubernetes.
  • Experience with Java, Scala, or Python for Spark job development.
  • Understanding of data formats such as Parquet, Avro, ORC, and JSON.
  • Basic knowledge of ETL processes, data ingestion, and data transformation pipelines.
  • Strong problem-solving skills and ability to troubleshoot issues in Spark jobs.
  • Familiarity with Git or other version control tools for managing code.

Job Classification

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

Contact Details:

Company: Tudip Technologies
Location(s): Pune

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Keyskills:   Version control CMMI JSON Troubleshooting Technical support Analytics Monitoring SQL Python Recruitment

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Tudip Technologies

Tudip Technologies is a value driven Software Services company. We deliver excellence in terms of dedicated and business- centric web solutions incorporated with innovation and expertise as the tools to achieve business goals. Our high quality, cost effective, reliable and scalable services have...