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POD Engineers (Int)

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Onsite

POD Engineers (Int)

NTT DATA BUSINESS SOLUTIONS

POD Engineers (Int)

Skills

Google Cloud PlatformData EngineeringPythonJavaCassandraKafkaSnowflakeDatabricksData AnalysisScalaAWSElasticsearchHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Req ID: phone_number

Job Summary

We are currently seeking a POD Engineers (Int) to join our team in TBD, Andaman and Nicobar Islands (IN-AN), India (IN).

Responsibilities

  • Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
  • Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
  • Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
  • Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.
  • Develop and deliver detailed presentations to effectively communicate complex technical concepts.
  • Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
  • Adhere to Agile practices throughout the solution development process.
  • Design, build, and deploy databases and data stores to support organizational requirements.

Basic Qualifications

  • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
  • Ability to travel at least 25%.

Preferred Skills

  • Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more.
  • Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
  • Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc.
  • Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
  • Undergraduate or Graduate degree preferred

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