Senior Data Engineer

5 days ago

Nashville, United States NTT DATA Full time

As a Senior Data Engineer with NTT DATA you will lead the design and implementation of cutting edge data architectures for our Nashville clients.

Key Responsibilities:

* Design and implement tailored data solutions with a strong emphasis onSnowflake, addressing diverse customer needs such as streaming, data lakes, and analytics within a dynamically evolving technical stack.

* Provide thought leadership by recommending the most appropriate Snowflake-centric technologies and solutions for a given use case, covering everything from application layers to infrastructure.

* Demonstrate advanced coding skills inPython,Java, orScalato build, deploy, and optimize data solutions that prioritize performance, security, scalability, and robust data integrations.

* Seamlessly collaborate across technical ecosystems, includingSnowflake,Cloudera,Databricks, andAWS, ensuring high-quality data architecture and execution.

* Develop and deliver detailed presentations to effectively communicate complex technical solutions.

* Generate comprehensive solution documentation, includingdata flow diagrams,logical system views, andsequence diagrams, to support implementation and maintenance.

* Adhere toAgile practicesthroughout the solution development lifecycle to deliver iterative and customer-focused outcomes.

* Design, build, and deploy scalableSnowflake databasesand data architectures that meet evolving organizational requirements.

Basic Qualifications:

* 8+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects, with a more recent focus onSnowflakesolutions.

* 6+ years of experience leading teams on data-related projects, delivering end-to-end technical solutions in a consulting environment.

* Ability to work onsite in Nashville, TN.

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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