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Lead Data Engineer . Here, you will be pivotal in developing a cutting-edge, cloud-based centralized data platform that guarantees comprehensive traceability. You will take charge of architecting the data model, ensuring optimal performance, security, and reliability of databases, constructing robust ETL pipelines, and configuring Oracle Analytics Cloud (OAC) alongside other analytics tools to provide consistent insights. Required Skills and Qualifications: Over 8 years of experience in data engineering, ETL development, or database management.
In-depth understanding of data modeling, data warehousing principles, and star/snowflake schemas.
Hands-on experience in designing and implementing data warehousing and analytics systems.
Experienced with data transformations, extracting data from various sources, and loading processes into Oracle or other relational databases.
Familiar with data governance, metadata management, and data lineage standards.
Basic knowledge of Linux, Unix, and networking principles.
Advanced expertise in
Oracle Database technologies
(e.g., Oracle RDBMS).
Proven capabilities in
SQL, PL/SQL ,
Oracle partitioning , and
performance tuning .
Expert in
ETL pipeline design
and implementation for large-scale data systems.
Proficient in
shell scripting ,
Python , or other automation tools.
Able to effectively collaborate with
cross-functional teams , including data scientists, DBAs, and business analysts.
Excellent verbal and written communication skills for documenting and presenting solutions.
Desired Skills and Qualifications: Experience integrating Oracle databases with other applications in cloud environments or big data platforms.
Knowledge of
cloud platforms
such as
Oracle Cloud Infrastructure (OCI) ,
AWS , or
Azure .
Understanding of
data security
best practices and compliance with regulations.
Experience with
DevOps
and
CI/CD pipelines
in a data engineering context.
Experience in transforming and loading data into Oracle database structures.
Experience in data modeling and creating self-service dashboards using tools like Oracle Analytics, Power BI, Tableau, or similar.
Familiarity with streaming data architectures (e.g., Apache Kafka, Oracle Stream Analytics).
Oracle certifications (e.g., Oracle Certified Professional or Oracle Big Data certification) are a plus.
Required Credentials and Experience: Must possess or be able to obtain a TS/SCI security clearance with CI Polygraph.
8+ years of relevant experience.
Bachelor's Degree in engineering, computer science, or a related field; a Master's degree is preferred.
Disclaimer: Some customer or client-facing roles may have specific requirements, such as immunization and occupational health mandates. The salary range for this role in the US is between $97,500 to $199,500 per annum, with eligibility for bonus and equity options. Oracle provides a broad salary range to accommodate varying levels of expertise and experience among applicants. About Us: At Oracle, we harness data, infrastructure, applications, and expertise to drive innovations that transform industries and enhance lives. Our commitment to AI and cloud solutions places us at the forefront of technological advancements. We prioritize diversity and opportunity, promoting employee engagement and community involvement through our volunteer programs.
Sprachkenntnisse
- English
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