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Urgent! Senior Data Engineer Job Opening In Bengaluru – Now Hiring Oracle
Data Bricks and Python Engineer About Oracle FSGIU - Finergy: Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, offering deep domain knowledge to address complex financial needs.
Finergy has Industry expertise in BFSI.
( On Accelerated Implementation ) Finergy has Proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market.
Due to Personalization tools that tailor customer experiences, Finergy has several loyal customers for over a decade.
( On End-to-End Banking Solutions ) Finergy Provides a single platform for a wide range of banking services—trade, treasury, cash management—enhancing operational efficiency with integrated dashboards and analytics.
Finergy offers Expert Consulting Services, Comprehensive consulting support, from strategy development to solution implementation, ensuring the alignment of technology with business goals.
Job Responsibilities Software Development: Design, develop, test, and deploy high-performance and scalable data solutions using Python,PySpark, SQL Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Implement efficient and maintainable code using best practices and coding standards.
Databricks Platform: Work with Databricks platform for big data processing and analytics.
Develop and maintain ETL processes using Databricks notebooks.
Implement and optimize data pipelines for data transformation and integration.
Continuous Learning: Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
Share knowledge with the team and contribute to a culture of continuous improvement.
SQL Database Management: Utilize expertise in SQL to design, optimize, and maintain relational databases.
Write complex SQL queries for data retrieval, manipulation, and analysis.
Mandatory Skills: 4 to 8 Years of experience in Databricks and big data frameworks Advanced proficiency in AWS, including EC2, S3 and container orchestration (Docker, Kubernetes) Proficient in AWS services and data migration Experience in Unity Catalogue Familiarity with Batch and real time processing Data engineering with strong skills in Python, PySpark, SQL Data Bricks and Python Engineer About Oracle FSGIU - Finergy: Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, offering deep domain knowledge to address complex financial needs.
Finergy has Industry expertise in BFSI.
( On Accelerated Implementation ) Finergy has Proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market.
Due to Personalization tools that tailor customer experiences, Finergy has several loyal customers for over a decade.
( On End-to-End Banking Solutions ) Finergy Provides a single platform for a wide range of banking services—trade, treasury, cash management—enhancing operational efficiency with integrated dashboards and analytics.
Finergy offers Expert Consulting Services, Comprehensive consulting support, from strategy development to solution implementation, ensuring the alignment of technology with business goals.
Job Responsibilities Software Development: Design, develop, test, and deploy high-performance and scalable data solutions using Python,PySpark, SQL Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Implement efficient and maintainable code using best practices and coding standards.
Databricks Platform: Work with Databricks platform for big data processing and analytics.
Develop and maintain ETL processes using Databricks notebooks.
Implement and optimize data pipelines for data transformation and integration.
Continuous Learning: Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
Share knowledge with the team and contribute to a culture of continuous improvement.
SQL Database Management: Utilize expertise in SQL to design, optimize, and maintain relational databases.
Write complex SQL queries for data retrieval, manipulation, and analysis.
Mandatory Skills: 4 to 8 Years of experience in Databricks and big data frameworks Advanced proficiency in AWS, including EC2, S3 and container orchestration (Docker, Kubernetes) Proficient in AWS services and data migration Experience in Unity Catalogue Familiarity with Batch and real time processing Data engineering with strong skills in Python, PySpark, SQL
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 474286 jobs in India and 33904 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Oracle is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Oracle adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Engineer interview at Oracle, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Oracle's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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