2,973 Consultant Etl Developer jobs in India

Strong management skills with the proven ability to drive business to the completion of mock loads, data cleansing, transformation rules creation/tracking, and the ability to execute to the plan. 

4 to 8 years of experience in Data Conversion/Migration and Master Data Management experience in SAP ECC is required.

Strong communication skills with an understanding of how to navigate external resources while understanding the limitation and expectations of Data Migrations 

The ability to understand an SAP implemented business solutions, disparate and ancillary systems, and upstream/downstream effects 

Expertise in Material Management including Configuration, Master and Transaction data and Procurement scenarios.

Interacting with multiple teams (i.e., functional teams, development teams, client business teams, and others) to identify gaps

Experience with entire Data Migration process, especially with global template model and experience to load the data independently.

Experience in migrating data using staging tables and direct transfer in SAP S/4HANA legacy transfer migration cockpit (LTMC) 

Experience in creating user-defined migration. 

Migrate the various data objects into S4 Hana system across the various functional modules

Responsible for Pre-Load and Post Load data validation

Troubleshoot Data Migration issues

ducation Qualification- 

Any Bachelor's or master’s degree in Computer / IT Engg or related field 

Competencies- 

Must have migration skills

Must have experience on S/4 HANA 

Master Data management experience 

Certificates-

SAP Certified Technology Associate - OS/DB Migration for SAP NetWeaver 7.52 

Skills-

Must have good Data migration skills,

Good experience S/4 HANA database 

Must have experience on SAP experience on other modules 

Vertiv, a $ global organization with nearly 27,000 employees, designs, builds and services critical infrastructure that enables vital applications for data centers, communication networks, and commercial and industrial facilities.  We support today’s growing mobile and cloud computing markets with a portfolio of power, thermal and infrastructure management solutions.

Job Summary
The Data Migration – Item MDM  will manage extract, transform and load (ETL) item related data from/to Oracle PD/PIM and Oracle EBS.

Responsibilities :

• Part of the Data Migration team doing ETL activities in
  1. Oracle Fusion cloud PD and PIM related to updating item attributes and BOM. Loading new item, document, attachments and BOM information
  2. Oracle EBS related migration of all master and transactional data. Updating item attribution and BOM information. 
• Previous experience of Data Migration of Item related data in Oracle PD/PIM or Oracle EBS a must. 
• Adhere to a data migration strategy and usage of specific data migration tools.
• Identify risks and issues in a timely manner and escalate for resolution as needed.
• Manage data quality across different phases of the data migration and make sure that data is fit for purpose.
• Knowledge of Fusion Data Migration tools including FBDI/HDL/ADFDI and Fusion Web Services.
• Work collaboratively to ensure data is cleansed in a timely manner.
• Substantial experience working with databases and ETL tools capable of data cleansing.
• Perform data migration audit, reconciliation and exception reporting. 
• Work with subject matter experts and project team to identify, define, collate, document and communicate the data migration requirements.
• Work across multiple functional work streams to understand data usage and implications for data migration. 
• Support initiatives for data integrity and governance. Perform source data identification and analysis to manage source to target data mapping. 
• Managing master and transactional data, including creation, updates, and deletion.

Requirements :

• Bachelor's Degree in Information Technology, Process Management or related degree or experience
• At least 4 years of combined experience in item/product data migration specifically extract, transform and load.
• Candidates should have 2+ years of experience in Oracle Fusion and Oracle EBS data migration roles.
• Business Knowledge:  Demonstrates strong knowledge of current and possible future policies, practices, trends, technology, and information related to the business and the organization.
• Communication:  Demonstrates excellent listening and communication skills (written and verbal)
• Initiative :  Works independently and is highly motivated to initiate and accept new challenges
• Judgment/Decision Making :  Makes solid decisions based on a mixture of analysis, wisdom, experience, and judgment.
• Managing & Adapting to Change :  Readily adapts to changes in priority of initiatives and overall strategic direction within a multi-plan, geographically widespread organization.
• Professionalism :  Exhibits appropriate attributes in all aspects of performance and demeanor
• Teamwork :  Organizes and directs effective teams at the cross-functional level that consistently achieve stated goals
• Results Oriented :  Bottom-line oriented and can be counted on to consistently meet and exceed goals.

Greetings from Netsach - A Cyber Security Company.

We are looking for an experienced SAP MDG Applications consultant and candidate must have worked in S4/HANA for at least one AMS or implementation Project.

Job Title: SAP Data & MDG Application

Exp: 5-10yrs

No of Openings: 3

Job Location: Bangalore/Hyderabad/Mumbai/Kolkata

Work Type: Fulltime - Hybrid

Interested candidates please share your resume at and post in netsachglobal.com.

Experience of working in S4/HANA for at least one AMS or implementation Project.

Along with the above, the candidate should have strong knowledge in:

In-depth exposure to SAP MDG applications - F, S, C, M (Financial Master Data, Supplier, Customer and Material Master Data maintenance)

Prior functional experience with Data Migration, SAP FI, SAP SD or SAP MM modules

Participate in requirement gathering sessions and then document the FSD

Good understanding on MDG standard process and should be able to guide user around MDG

Experience in SAP MDG S4HANA Configuration (Including Data Model, BRFPlus and Floor Plan manager )

Experience in configuration rule-based workflow

Experience in integration business process requirements with technical implementation of SAP Master Data Governance.

Experience in developing user statistics reports in MDG.

Knowledge on generating statistics reports for material master data cleansing activities.

Thank You

Emily Jha

+91

Netsach - A Cyber Security Company

Greetings from Netsach - A Cyber Security Company.

We are looking for an experienced SAP MDG Applications consultant and candidate must have worked in S4/HANA for at least one AMS or implementation Project.

Job Title: SAP Data & MDG Application

Exp: 5-10yrs

No of Openings: 3

Job Location: Bangalore/Hyderabad/Mumbai/Kolkata

Work Type: Fulltime - Hybrid

Interested candidates please share your resume at and post in netsachglobal.com.

Experience of working in S4/HANA for at least one AMS or implementation Project.

Along with the above, the candidate should have strong knowledge in: 

In-depth exposure to SAP MDG applications - F, S, C, M (Financial Master Data, Supplier, Customer and Material Master Data maintenance)

Prior functional experience with Data Migration, SAP FI, SAP SD or SAP MM modules 

Participate in requirement gathering sessions and then document the FSD

Good understanding on MDG standard process and should be able to guide user around MDG

Experience in SAP MDG S4HANA Configuration (Including Data Model, BRFPlus and Floor Plan manager )

Experience in configuration rule-based workflow

Experience in integration business process requirements with technical implementation of SAP Master Data Governance.

Experience in developing user statistics reports in MDG.

Knowledge on generating statistics reports for material master data cleansing activities.

Thank You

Emily Jha

+91

Netsach - A Cyber Security Company

**Job Description**
**Data Migration Engineer**
About Oracle FSGIU - Finergy:
The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.
**Job Summary:**
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
**Qualifications & Skills:**
+ Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
+ 3 to 5+ Years of experience in Databricks and big data frameworks
+ 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
+ Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
**Soft Skills:**
+ Strong problem-solving and analytical skills.
+ Excellent communication and collaboration abilities.
+ Ability to work in a fast-paced, agile environment.
**Responsibilities**
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**Data Migration Engineer**
About Oracle FSGIU - Finergy:
The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.
**Job Summary:**
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
**Qualifications & Skills:**
+ Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
+ 3 to 5+ Years of experience in Databricks and big data frameworks
+ 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
+ Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
**Soft Skills:**
+ Strong problem-solving and analytical skills.
+ Excellent communication and collaboration abilities.
+ Ability to work in a fast-paced, agile environment.
**Responsibilities**
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**Data Migration Engineer**
About Oracle FSGIU - Finergy:
The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.
**Job Summary:**
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
**Qualifications & Skills:**
+ Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
+ 3 to 5+ Years of experience in Databricks and big data frameworks
+ 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
+ Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
**Soft Skills:**
+ Strong problem-solving and analytical skills.
+ Excellent communication and collaboration abilities.
+ Ability to work in a fast-paced, agile environment.
**Responsibilities**
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**Data Migration Engineer**
About Oracle FSGIU - Finergy:
The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.
**Job Summary:**
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
**Qualifications & Skills:**
+ Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
+ 3 to 5+ Years of experience in Databricks and big data frameworks
+ 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
+ Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
**Soft Skills:**
+ Strong problem-solving and analytical skills.
+ Excellent communication and collaboration abilities.
+ Ability to work in a fast-paced, agile environment.
**Responsibilities**
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**Data Migration Engineer**
About Oracle FSGIU - Finergy:
The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.
**Job Summary:**
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
**Qualifications & Skills:**
+ Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
+ 3 to 5+ Years of experience in Databricks and big data frameworks
+ 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
+ Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
**Soft Skills:**
+ Strong problem-solving and analytical skills.
+ Excellent communication and collaboration abilities.
+ Ability to work in a fast-paced, agile environment.
**Responsibilities**
**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.
**AWS & Databricks Implementation:**
+ 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.
+ Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
+ Leverage PySpark for large-scale data processing and transformation tasks.
**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.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.