Offshore Data Engineer

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 Offshore Data Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN).

Key Responsibilities:

Develop domain data products by re-implenting AWS Glue, Pyspark, and ScalaSpark into SQL in Azure Synapse AND/OR set up standardized ingestion framework pipelines in Azure Synapse based on current ingestion pipelilnes to AWS S3.

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 Azure 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, source to target mappings, etc.

Adhere to Agile practices throughout the solution development process.

Design, build, and deploy databases and data stores to support organizational requirements.

Basic Qualifications:

2+ years (5+ years senior) of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

- Design and implement tailored data solutions. Spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.

- 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.

- Think critically and communicate clearly to generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.

Preferred Skills:

Demonstrate production experience in core data platforms including AWS, Azure, 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