Principal Data Engineer

Principal Data Engineer

Description:

Does Big Data, AI, and Cloud Native Data Lakes/DW get you excited? Are you interested in building sustainable Big Data customer engagement solutions? How about working with leading-edge technologies like Databricks on AWS? Can you see yourself integrating AI solutions with the best data tools in the world? Do you want to build CRM solutions at enterprise scale? Are you excited to provide the best customer data privacy available and build HP’s engagement of trust with customers?

The Principal Data Engineer role is a team leader in setting the direction and implementing a modern customer engagement solution for HP’s consumer subscription business. This role will work with external and internal business partners to capture business requirements and help develop data-driven solutions to support the business. You will drive the work you're doing to completion with hands-on development responsibilities.

This position will apply developed subject matter knowledge to solve common and complex business issues and recommend appropriate alternatives. The daily work will consist of solving problems that are of diverse complexity and scope, while exercising judgment within generally defined policies and practices.

Responsibilities:

• Works with other architects and data engineers to establish secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data platforms, repositories, or models for structured/unstructured data.
• Writes and executes complete testing plans, protocols, and documentation for assigned portions of data systems or components; identifies defects and creates solutions for issues with code and integration into data system architecture.
• Typically interacts with high-level contributors, managers, and program teams on a daily/weekly basis.
• Helps define and drive portions of project requirements for data exchanges and business requirements with external and internal teams.

AI Objectives:

• Develop a framework and environment for data conditioning and modeling.
• Implement ML trained on models developed to support efficient and effective campaign communications.
• Integrate AI for orchestration of communications, products and services, channels, and touchpoints that are the most meaningful to the customer and their relationship with the company.

We are looking for world-class talent that brings the following key skills and experience to this role:

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.
• 7+ years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools.
• Cloud-based DW such as Redshift, Snowflake, etc.
• Hadoop, Spark, Hive & Delta Lake.
• Databricks, AWS EMR, AWS Glue, etc.
• Leverage monitoring tools/frameworks, like Splunk, CloudWatch, etc.
• Docker, Kubernetes, ECR, etc.
• Parquet, Avro, Delta Lake, Spark.
• CI/CD processes such as Jenkins, Codeway, etc. and source control tools such as GitHub.
• Python, PySpark, Scala & Java.
• Experience in building lambda, kappa, microservice, and batch architecture.
• Designing data systems/solutions to manage complex data.

Nice to Have:

• Experience with transformation tools such as dbt.
• Building real-time streaming data pipelines.
• Pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming, etc.
• Marketing Communications and Data Privacy.

Benefits:

HP offers a comprehensive benefits package, including:

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $137,000.00 -- $211,000.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Job: Software

Schedule: Full time

Shift: No shift premium (United States of America)

Travel:

Relocation: Yes

Equal Opportunity Employer (EEO):

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law , Equal Employment Opportunity is the Law – Supplement .