Software Data Engineer ( Azure and SQL )

Posted:
7/22/2024, 5:00:00 PM

Location(s):
Karnataka, India ⋅ Jalisco, Mexico ⋅ Tlaquepaque, Jalisco, Mexico

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Software Data Engineer ( Azure and SQL )

Description -

Job Summary


• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.

Responsibilities

-Developing, constructing, testing, and maintaining data architectures, such as databases and large-scale processing systems.

-Ensuring that the architecture will support the requirements of the business and data scientists.

-Recommending and implementing ways to improve data reliability, efficiency, and quality.

-Deploying sophisticated analytics programs, machine learning, and statistical methods.

-Preparing data for predictive and prescriptive modeling.

-Creation of algorithms to transform data into actionable insights.
 

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

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

-Databricks

-Azure
Knowledge & Skills
• Agile Methodology
• Amazon Web Services
• Apache Hadoop
• Apache Kafka
Apache Spark
• Big Data
• Computer Science
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Data Warehousing
• Extract Transform Load (ETL)

• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Python (Programming Language)
• Scala (Programming Language)
• Scalability
• SQL (Programming Language)


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

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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

Hewlett Packard (HP)

Website: http://www.hp.com/

Headquarter Location: Palo Alto, California, United States

Employee Count: 10001+

Year Founded: 1939

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Computer ⋅ Consumer Electronics ⋅ Hardware ⋅ IT Infrastructure ⋅ Software