Senior Data Engineer - (No Benchsales/No OPT / No-H1B) - Fulltime

KPG99 INC; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

KPG99 INC is seeking a senior data engineer to lead the design and delivery of complex data solutions for cyber security technology and business goals. You will guide stakeholders and engineers through design and execution, with hands-on coding when needed.

Ideal candidates bring 8+ years of hands-on experience, deep Hadoop/Cloudera experience, strong Python and SQL skills, and cloud familiarity (AWS/Azure).

Qualifications

• 8+ years hands-on data engineer/software development experience (at least 5 years onsite).
• Experience with big data processing systems like Hadoop, Cloudera etc.
• Experience with one or more programming languages like Python (Modular Python).
• Strong SQL and UNIX experience.
• Hadoop – Hive, Spark, Pispark.
• Proven leadership guiding junior engineers toward project delivery.
• Experience in cyber security domain, preferably vulnerability data management.
• Ability to switch from leadership to hands-on coding when required.
• Experience with cloud services/technologies like AWS, Azure, etc.
• Experience with data stores like HIVE, HBase Elastic.
• Experience with Bitbucket
• Experience with CICD pipelines
• Knowledge of Data engineering principles and SDLC.
• Ability to detect gaps in requirements and communicate with business partners.

Responsibilities

• Ensure the design and engineering approach for complex data solutions is consistent across flows and systems.
• Conduct research, designs prototyping, and evaluate new toolsets.
• Utilize architectural components in design and development of client requirements.
• Maintain, improve, clean and manipulate data for operational/analytics systems.
• Proactively solve technical problems and push for better solutions.
• Collaborate with development teams to meet data requirements and feasibility.
• Assemble large, complex data sets meeting functional/non-functional requirements.
• Build data pipelines for faster, data-informed decision making.
• Contribute to test suites and triage test issues.
• Document deployment, maintenance, and business functionality details.
• Adhere to CI/CD release processes and timelines.
• Identify gaps in data management standards and close them with stakeholders.
• Lead concept and experimentation testing to validate analytical solutions.
• Define KPIs and internal controls.
• Mentor junior Data Engineers and coach CI/CD practices.

Skills

Data engineering

Python

SQL

Unix

Hive/Spark

Cloud services AWS/Azure

CI/CD pipelines

Leadership

Mentoring

Vulnerability data management

Tools

Hadoop

Cloudera

Bitbucket

Spark

HBase

Job description

• This role is responsible for leading complex efforts to develop and deliver complex data solutions to accomplish cyber security technology and business goals.
• Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems.
• They guide stakeholders, Product Owners, and Software Engineers through the design and execution processes.
• These individuals provide technical thought leadership based on the significant experience they have built through implementing multiple complex data solutions, and their knowledge of the interaction across multiple data flows and systems.
• The candidate is expected to have knowledge in the cyber security domain.
• Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert.

Primary Interactions:

• Business partners and stakeholders
• Product Owner
• Development Team
• Architect
• Domain Community of Practice
• Data Scientists

Required Skills:

• Minimum 8+ years hands-on data engineer/Software development exp (at least 5 years of onsite exp)
• Experience with big data processing systems like Hadoop, Cloudera etc
• Experience with one or more of the programming languages like Python (Modular python programming exp)
• Strong SQL and UNIX experience
• Hadoop – Hive, Spark , Pispark
• Proven experience with technology leadership guiding junior engineers towards project completion and deliveries
• Experience with cyber security domain, preferably vulnerability data management
• 8+ years of hands-on data engineer/software development
• Ability to switch from technology leadership to hands on coding when required
• Experience with big data processing systems like Hadoop, Cloudera, etc.
• Experience with Cloud Services\Technologies like AWS, Azure, etc.
• Experience with one or more of the programming languages like Python
• Strong SQL and UNIX experience
• Experience with data stores like HIVE, HBase Elastic
• Experience with code versioning systems like Bitbucket
• Experience with CICD pipelines
• Good knowledge on Data engineering principles and SDLC process
• Ability to detect early and articulate with business partners the challenges and gaps in requirements

Experience: Minimum 8+ years

• Ensure that the design and engineering approach for complex data solutions is consistent across multiple flows and systems.
• Conduct research, designs prototyping and other exploration activities such as evaluating new toolsets.
• Utilize multiple architectural components in design and development of client requirements.
• Maintain, improve, clean and manipulate data for the operational and/or analytics data systems.
• Constantly looking for better ways of solving technical problems and designing the solution without being afraid of challenging the status quo.
• Collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement and subsequently implemented accurately.
• Assemble large, complex data sets that meet functional/ non-functional requirements.
• Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.
• Define and build data pipelines that enable faster, better, data-informed decision-making within the business.
• Contribute to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
• Document and communicate required information for deployment, maintenance, support, and business functionality.
• Adhere to team delivery/release process and cadence pertaining to code deployment and release
• Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.
• Lead concept and experimentation testing, and synthesize the results to validate and improve analytical solution.
• Define key performance indicators and internal controls.
• Mentor more junior Data Engineers and coach team members in the delivery/release CI-CD events – (for example, branching timelines, pull requests, issue triage, merge/conflict resolution, and release notes).