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AWS Data Engineer Job Opening In GUADALAJARA – Now Hiring IBM


Job description

**Introduction**
At IBM Mexico Client Innovation Center, We are a leading consulting organization seeking a highly skilled and motivated Application Developer to join our dynamic team.

This role offers a unique opportunity to leverage your expertise in cloud technologies to develop scalable, robust, and high-performance applications for our diverse clientele.

If you are a passionate technologist who enjoys working in a fast-paced environment, thrives on challenges, and is ready to make a significant impact on our clients' businesses, we would love to hear from you.

We offer a competitive salary and benefits package, opportunities for professional growth, and a supportive work environment.

Join us and help shape the future of cloud computing!
Apply today to become a key player in our Application Development team.
Our commitment to diversity and inclusion ensures that every voice is heard, respected, and valued.

We encourage candidates from all backgrounds to apply.

IBM is an Equal Opportunity Employer, committed to fostering a diverse and inclusive environment.
**Your role and responsibilities**
Phase 1: Job Assessment and Code Preparation

1.

Job Selection and Inventory

· Select target jobs from EMR JIRA project for migration prioritization

· Identify and catalog all jobs eligible for EMR Serverless migration

2.

Code Discovery and Validation

· Locate jobs in production environment and retrieve latest code versions

· Verify job status to ensure active (non-retired) jobs are migrated

· Audit code repositories to confirm production code alignment with master branch

3.

Source Code Management

· Push latest production code to master branch if discrepancies exist


Phase 2: Infrastructure and Compatibility Updates

4.

Storage and Query Migration

· Migrate Hadoop and HDFS commands to utilize Amazon S3 for data storage

· Update data processing workflows to leverage Amazon Athena for query execution

5.

Runtime Environment Modernization

· Update Spark version to EMR Serverless compatible releases

· Upgrade Python version to supported EMR Serverless specifications

· Ensure all dependencies are compatible with target environment

6.

Logging and Monitoring Integration

· Implement native EMR logging integration with AWS CloudWatch

· Configure AWS Log Groups for centralized log management

· Optimize scripts for enhanced observability in serverless environment


Phase 3: Testing and Orchestration

7.

Documentation and Workflow Validation

· Create/update test documentation for migrated jobs

· Verify existing workflow configurations and dependencies

8.

Job Orchestration Migration

· Identify current job triggers (Control-M, cron, etc.)

· Migrate Control-M scheduled jobs to AWS Step Functions

· Configure serverless-compatible job orchestration


Phase 4: Deployment and Validation

9.

Non-Production Deployment

· Deploy migrated jobs to non-production environment

· Conduct internal testing and validation

· Coordinate handoff to AMI team for additional validation

10.

Quality Assurance Testing

· Deploy to QA environment for comprehensive testing

· Conduct internal testing and validation

· Obtain AMI team sign-off on QA results

11.

Production Release

· Create production release change following AMI team approval

· Execute controlled production deployment

· Implement post-deployment monitoring and validation for 1 week
**Required technical and professional expertise**
· Proficient in Spark job development and optimization, including version upgrades and compatibility with EMR Serverless.

· Strong understanding of AWS services such as EMR Serverless, S3, Athena, CloudWatch, and Step Functions.

· Advanced skills in Python, including upgrading and refactoring code to meet EMR Serverless runtime requirements.

· Experience with job scheduling tools (e.g., Control-M, cron) and migrating workflows to AWS Step Functions.

· Proficiency in Git-based workflows, including branch management, code auditing, and repository alignment.

· Ability to integrate and configure logging solutions using AWS CloudWatch and Log Groups for serverless environments.

· Skilled in creating test documentation, conducting QA, and validating job performance across environments (non-prod, QA, production).
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


Required Skill Profession

Other General


  • Job Details

Unlock Your AWS Data Potential: Insight & Career Growth Guide


Real-time AWS Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AWS Data in GUADALAJARA, Mexico, highlighting market share and opportunities for professionals in AWS Data roles.

2982 Jobs in Mexico
2982
139 Jobs in Guadalajara
139
Download Aws Data Jobs Trends in Guadalajara and Mexico

Are You Looking for AWS Data Engineer Job?

Great news! is currently hiring and seeking a AWS Data Engineer to join their team. Feel free to download the job details.

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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 IBM adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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6. Respect for human rights

7. Obeying Mexico laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in GUADALAJARA. 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.

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Key qualifications for AWS Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AWS Data Engineer Job Success

IBM interview tips for AWS Data Engineer

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Before the Interview:

Research: Learn about the IBM's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Final Thought:

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