Data Engineer

Data Engineer

Description -

Job Summary
• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
 

Description

Responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data product pipelines, repositories, or models for structured/unstructured data.

 

· Responsibilities

• High level of initiative, with an ability to plan and manage tasks, ability to work collaboratively with a group of peers, both within and outside one’s own group.
• Designs, analyses, programs, debugs, troubleshoots, and modifies software applications for enhancements and new products

     
Education & Experience Recommended
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills
Strong knowledge in DataBricks

Strong in PySpark and Python

Strong in SQL/MySQL, Relational data modelling

Strong Notebooks environment experience (Jupyter, DataBricks)

Fluent in complex, distributed and massively parallel cloud systems (AWS, GCP, AZURE)

Experience with workflow orchestration tools (Airflow, Jenkins)

Basics of AWS/Azure technologies

Proficient in using Git & Tera Forms

Experience collecting requirements from Partners and choosing the right technologies to meet end to end data flow requirements that are required.  

Strong analytical and problem solving skills.

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity
• Responds to moderately complex issues within established guidelines.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

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