Senior Data Engineer - New Delhi, India - Oracle

Description

Oracle's Cloud Infrastructure (OCI)

is a comprehensive cloud services offering, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), and is a strategic growth area for Oracle.

OCI can provide you the opportunity to build and operate a suite of large scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment.

OCI is committed to providing the best in cloud products that will meet the needs of our customers tackling big challenges.

OCI is being built with an entrepreneurial spirit that promotes an energetic, creative, and collaborative environment; while ensuring that employees are supported in their career goals and have opportunities for training and education.

We appreciate and value commitment to family and enthusiastically encourage work / life balance.
We are looking for a Data Engineer to join the BI and Analytics team.

The team is dedicated to providing accurate data and partnering with teams to help them discover actionable narratives in their data.

We believe information enables success, and we are committed to providing clear insights for all levels of the organization.

The ideal candidate will use their extensive knowledge as a data engineer to implement/manage the data pipelines and data integration layers, build and manage efficient data models.

They will work with other senior developers to keep this solution up to date with changing technology trends to meet security, compliance and always-on availability requirements.

They will leverage Autonomous Data Warehouse, Spark and Python technologies. If you are passionate about taking ownership of concrete data challenges and producing business intelligence solutions that have broad, significant impacts - come join our teamCareer Level

• IC3In this role, you will:Build flexible and scalable solutions for sourcing and ingesting Petabytes worth of structured and non structured data.

Assist with creation of data schemas, stored procedures, views, and data mapping between data setsCollaborate across roles to embrace best practices in reporting and analysis, including data integrity, test design, validation, and documentationWork closely with business teams to understand the business needs, then make technical decisions to implement features in the platform.

Work with senior developers to keep solution technically relevant by ensuring right design principlesBe very technically hands-on and own/drive key end-to-end product/servicesDevelop strong hypotheses, independently solve problems, and share actionable insights with engineering leadershipEnsure customer success including delivering fixes/patches as needed