Data Engineer

Job Description

Req ID: 324651 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer to join our team in Pune, Mah r shtra (IN-MH), India (IN). Key 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. Experience with Informatica, Python, Databricks, Azure Data Engineer 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 Informatica, 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