Oracle Senior Data Engineer
Oracle Senior Data Engineer
Posted on :
14-11-2024
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1 Vacancy
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Job Description
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Role:Oracle Senior Data Engineer
Location: Mumbai
Exp: 7 Years
Requirements
We are looking for an experienced Data Integration Specialist to join our team. The ideal candidate will have deep expertise in data integration technologies specifically with Oracle Cloud Infrastructure (OCI) services along with handson experience in data transformation managed file transfers and largescale data processing.
Key Responsibilities:
Data Integration Development:
- Design develop and implement data integration solutions using OCI Data Integration services such as Oracle Data Integrator (ODI) and OCI DataFlow.
- Collaborate with crossfunctional teams to integrate data from multiple sources into OCI Object Store and Autonomous Database environments.
- Design develop and implement data integration solutions using OCI Data Integration services such as Oracle Data Integrator (ODI) and OCI DataFlow.
Managed File Transfers (MFT):
- Set up configure and manage secure file transfers between onpremises systems and OCI environments ensuring data integrity and security.
- Monitor and troubleshoot file transfer processes to ensure seamless and secure data flow across platforms.
- Set up configure and manage secure file transfers between onpremises systems and OCI environments ensuring data integrity and security.
Data Streaming & Processing:
- Utilize Apache Kafka to create and manage data streaming pipelines facilitating realtime data processing and analysis.
- Implement batch and streaming data transformation jobs using PySpark to meet business requirements for processing large datasets.
- Utilize Apache Kafka to create and manage data streaming pipelines facilitating realtime data processing and analysis.
Oracle Cloud Infrastructure PaaS & SaaS Services:
- Work with OCI PaaS and SaaS data services including Object Store and Autonomous Database to store process and manage businesscritical data.
- Optimize data storage and retrieval for high performance and scalability within the OCI ecosystem.
- Work with OCI PaaS and SaaS data services including Object Store and Autonomous Database to store process and manage businesscritical data.
Required Skills:
- Strong experience with OCI Data Integration services: Oracle Data Integrator (ODI) OCI DataFlow and other OCInative data services.
- Proficiency in Managed File Transfers (MFT) including configuring securing and monitoring file transfers in a cloud environment.
- Expertise with Apache Kafka for data streaming PySpark for data transformation and handson experience in data engineering processes.
- Familiarity with OCI Object Store and Autonomous Database for data management.
- Good understanding of data security encryption and compliance considerations within a cloud environment.
Qualifications:
- Bachelors degree in Computer Science Information Technology or a related field.
- Proven experience in data integration development within Oracle Cloud Infrastructure (OCI).
- Strong problemsolving skills attention to detail and the ability to work collaboratively in a fastpaced environment.
Benefits
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Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 2+ years of hands-on experience in PySpark, Spark SQL, and Spark DataFrames. Proficiency in Python programming, with experience in data manipulation and processing. Strong knowledge of Apache Spark architecture and experience working with large datasets in a distributed environment. Experience with SQL and relational databases, including query optimization. Familiarity with ETL frameworks and data processing tools (e.g., Hadoop, Hive, Kafka). Experience in cloud platforms such as AWS, Azure, or Google Cloud and their respective big data services. Understanding of data lake and data warehouse concepts and best practices. Knowledge of data partitioning, caching, and other optimization techniques in Spark. Strong problem-solving and debugging skills, with attention to detail and accuracy.
Employment Type
Full Time
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