Contractor Data Analytical Engineer - Lead
NTT DATA Americas, Inc is hiring a remote Contractor Data Analytical Engineer - Lead. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
NTT DATA Americas, Inc
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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.
* Ability to travel at least 25%.
Preferred Skills:
* Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud Platform, 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