Senior Data Analyst/Engineer

Senior Data Analyst/Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

Job Description:

HPE Global IT is a dynamic organization enabling the enterprise to innovate and lead the industry with our consumption-based IT transformation and our consulting, financial, educational, and operational support services. Join us as we develop innovative solutions that revolutionize how we help customers by simplifying their operations and move the world forward.

Job Family Definition:

Researches, designs, develops, configures, integrates, tests and maintains existing and new business applications and/or information systems solutions including databases through integration of technical and business requirements. Applications and infrastructure solutions include both 3rd party software and internally developed applications and infrastructure. Responsibilities include, but are not limited to, analysis of business requirements, coding of modifications or new program, creation of documentation, testing and maintenance of applications, infrastructure, and information systems including database management systems. Works within the Information Technology function, obtaining resources and working in support of objectives and strategies. Provides required documentation and participates in architecture reviews to ensure that the solutions comply with standards and use approved technologies. Typical customers are company end users and various functional areas such as Supply Chain, Research and Development, Marketing, Finance, a business, or the company.

Management Level Definition:

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.

What you’ll do:

• Participates as a member of and leads development teams. Performs analysis of complex functional and business requirements. Prepares code stubs for others. Completes code to implement solutions. Designs solutions for others to code. Participates in cross-functional teams. Leads design activities May provide mentoring and guidance to other developers. Designs, prepares and executes Unit tests. Represents team to client/customers.
• Demonstrates technical leadership, and exerts influence outside of immediate team. Develops innovative team solutions to complex problems. Contributes to strategic direction for teams.
• Applies in-depth or broad technical knowledge to provide maintenance solutions across one or more technology areas using Oracle/SQL server / Mongo DB
• Performs solution design. Applies the company and 3rd party technologies and leads design of highly complex infrastructure and software solutions.
• Independently implements end- user or enterprise infrastructure or services of significant complexity.
• Integrates technical expertise and business understanding to create superior solutions for the company and customers. Mentors and consults with team members and other organizations, customer and vendors on complex issues.

What you need to bring:

Education and Experience Required:

• Typically a technical Bachelor's degree or equivalent experience and a minimum of 10 years of related experience or a Master's degree and a minimum of 8 years of experience.

Responsibilities:

• Expert in various relational databases and NoSQL databases like MongoDB or SQL Database with 8-10 years of experience.
• Intermediate in Python coding with high level architecture designs and concepts with 3-5 years of experience.
• Problem-solving and analytical skills to extract meaningful insights from data
• Strong business acumen to understand the implications of data findings
• Collect, clean, and organize large datasets from various sources
• Perform data analysis using statistical methods, machine learning techniques, and data visualization tools
• Identify patterns, trends, and anomalies within datasets to uncover insights
• Develop and maintain data models to represent the organization's business operations
• Create automated ETL pipelines for a wide variety of data sources
• Good experience in ETL (Extract, Transform, Load) operations using Python/PySpark and loading to DB (Graph DB Knowledge is addon).
• Lead the data science and analytics teams to define and implement project specific data management approaches
• Ability to quickly understand which data is used by which business processes and what the data means in the context of these specific processes
• Experience leveraging Elasticsearch for ingest and query design, or related solution such as Kibana, etc
• Experience leveraging messaging and queuing solutions such as Kafka, RabbitMQ,
• Development experience with at least one NoSQL database (MongoDB, Cassandra, etc.)
• Experience supplying data to business intelligence tools such as Qlik, PowerBI
• Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
• Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
• Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc
• Advance Level knowledge on data integration and complex data workflows.
• Document data analysis procedures and findings to ensure knowledge transfer
• Manage the delivery of high impact dashboards and data visualizations with data visualization tools such as PowerBI and Qlik
• Manage and prioritize multiple assignments
• Ability to work independently and as part of a team
• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills
• Logical thinking and problem-solving skills along with an ability to collaborate.

Technical Summary:

• Data Engineering and Analytics
• Python
• PySpark
• Flask/Pandas/DJango Framework
• NoSQL like GraphDB, MangoDB, Cassandra
• Relational Database like MSSQL, Oracle
• REST APIs/ Micro services architecture
• Cloud - AWS - S3, EC2, EKS (preferred)
• Data Transformation (ETL), Python, SQL, Integrating Machine Learning Models, Data Pipelines, Transform Big Data Sets.

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management, Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity, Long Term Planning, Managing Ambiguity {+ 4 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india#globalIT

Job:

Information Technology

Job Level:

TCP_04

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.