Data Engineer

We are expanding our efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes.

These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring.

This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies. Other aspects of the role include developing standards and processes for data engineering projects and cloud initiatives.

• Code, test, deploy, Orchestrate, monitor, document and troubleshoot cloud-based data engineering processing and associated automation in accordance with best practices and security standards throughout the development lifecycle
• Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, collect, and format data from external sources, internal systems and the data warehouse and lakehouse to extract features of interest
• Significantly contribute to evaluation, research, and experimentation efforts with batch and streaming data engineering technologies to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
• Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice
• Educate and develop ETL developers on data engineering cloud-based initiatives so as to enable transition to data engineer and practice

• Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
• Experience with ingesting various source data formats such as JSON, Parquet, Sequence File, Cloud Databases, MQ, Relational Databases such as Oracle
• Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation
• Understanding of cloud computing technologies, business drivers and emerging computing trends
• Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape
• Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
• Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator
• Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management
• Strong background with source control management systems (GIT or Subversion);
  Build Systems (Maven, Gradle, Webpack);
  Code Quality (Sonar);
  Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure Dev Ops)
• Experience with No
  
  SQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed No
  
  SQL with search such as Mark Logic or Lily Enterprise
• Creating and maintaining ETL…