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Sr. Data Engineer

Plano, Texas-Hybrid

Phone+Skype

6+Month

Job Description

responsibilities include:
Contribute to full software development life cycle
Write maintainable, extensible, tested code, while complying with coding standards
Produce specifications and determine operational feasibility
Continuously Integrate and deliver software components into a fully functional software
system
Facilitate end to end user testing with customers
Troubleshoot, debug and upgrade existing systems

CAREER LEVEL SUMMARY
Proficiency: Fully mastered in immediate function/domain and has developed competent
skills in complimentary functions or domains. Is able to train junior members in mastered
domain knowledge.
Direction: Is largely autonomous, working on a day to day basis without supervision or
support. Occasionally checks in with manager for questions, direction. Provides support
or direction to more junior members.
Business Focus: Understands TCNA's business model, as well as the specific roadmap of
assigned product or function. Understands the interconnectedness of business systems,
products, and/or technologies. Understands the needs of the customer, and approaches
work with a desire to exceed customer expectations. Shows basic understanding of
technology costs and validates with Manager on impact of choices when unsure.
Growth Mindset: Exhibits strong growth mindset, approaches feedback and constructive
criticism eagerly and actively implements plans for change. Tolerant to organizational
turbulence. Positively contributes to team and organizational culture. Raises concerns in a
constructive manner.

QUALIFICATIONS
5+ years of total IT experience
3+ years of experience as a Data Engineer with large, complex data sources
Experience designing, building and operationalizing large scale enterprise data solutions
and applications using AWS data and analytics services in combination with other
services/platforms Spark, EMR, RedShift, Kinesis, Kinesis Firehose, Athena, Lambda &
AWS Glue
Experience with data pipeline and workflow management tools: Airflow, Step Functions etc

Ability to implement both batch and streaming data pipelines in the AWS and change
data capture (CDC) experience
Advanced working SQL knowledge and experience working with relational databases and
NOSQL databases.
Experience designing and build production data pipelines from ingestion to
consumption within a big data architecture, using Java, Scala.
Experience with infrastructure-as-code tools such as Terraform (preferably) or
CloudFormation
Kubernetes experience for developing, deploying, and orchestrating
micro-services is plus
Knowledge of software engineering best practices across the development lifecycle,
including agile methodologies, coding standards, code reviews, source management, build
processes, testing, and operations
Understanding of concepts regarding security, privacy, performance, etc