Senior Data Engineer

hpe

Bangalore 8 Years Exp Posted 1h ago

Conceptualizes, builds, develops, and enhances a clients’ analytical models. Determines the right modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.
Design and engineer application solutions.
Can work with multiple databases and big data solutions.
Standardize ELT, BI, governance, and analytics.
Technically lead, design, develop distributed, high-throughput, low-latency, and highly available solutions.
Understand business requirement to build reliable application solutions.
Work with the data engineering team to develop & maintain data pipelines.
Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards.
Develop tools for better discovery and consumption of data.
Work with data scientists and the business analytics team to assist in data ingestion and data-related technical issues.

What you need to bring:

Education and Experience Required:

Typically a first-level university degree in technical communications, computer science, or a related technical/communications field and a minimum of 8+ years of related experience or an advanced university degree and a minimum of 6 years of experience or equivalent.
Knowledge of tools and technologies relevant throughout the division or across divisions.
Represents the company in professional associations, e.g., STC, ASM-SIGDOC, IEEE, and technology standards committees such as the DocBook Standards Committee.

Knowledge and Skills: