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Lead Data Engineer - Azure/AWS/Google Cloud Platform Job Opening In Bengaluru – Now Hiring Pylon Management Consulting


Job description

<p><p><b>Key Responsibilities :</b><br/><br/>- Cloud Data Architecture : Architect and deploy large-scale data solutions on Azure, AWS, or GCP.<br/><br/>- CI/CD for Data Pipelines : Define and implement CI/CD strategies using Terraform, Azure DevOps, or GitHub Actions.<br/><br/>- Data Governance : Implement and maintain data cataloging, lineage tracking, and access control solutions (Unity Catalog, Collibra, Alation).<br/><br/>- Compliance & Security : Ensure compliance with GDPR, CCPA, and other industry-specific data security and privacy standards.<br/><br/>- Scalability & Performance : Develop strategies for distributed computing, parallel processing, and caching mechanisms to improve performance.<br/><br/>- Collaboration : Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver robust data :</b></p><p><br/>- 7+ years of experience in data engineering, cloud data platforms, and distributed systems.<br/><br/>- Strong hands-on experience with Databricks and Apache Spark.<br/><br/>- Proficiency with at least one major cloud provider (Azure, AWS, GCP).<br/><br/>- Experience with CI/CD pipelines and IaC tools (Terraform, Azure DevOps, GitHub Actions).<br/><br/>- Familiarity with data governance tools (Unity Catalog, Collibra, Alation).<br/><br/>- Strong knowledge of data privacy and compliance frameworks (GDPR, CCPA, HIPAA preferred).<br/><br/>- Proven ability to optimize large-scale distributed systems for performance and reliability.<br/><br/>- Excellent problem-solving skills, strong communication, and collaborative :</b></p><p><br/>- Knowledge of Kubernetes and containerized workloads.<br/><br/>- Experience with streaming platforms (Kafka, Event Hubs, Kinesis).<br/><br/>- Exposure to machine learning workflows on Databricks.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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The Work Culture

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 Pylon Management Consulting adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Data Engineer Azure/AWS/Google Cloud Platform Positions?

The average salary range for a 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.

What Are the Key Qualifications for Lead Data Engineer Azure/AWS/Google Cloud Platform?

Key qualifications for Lead Data Engineer Azure/AWS/Google Cloud Platform typically include Computer Occupations 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 Lead Data Engineer Azure/AWS/Google Cloud Platform Job Success

Pylon Management Consulting interview tips for Lead Data Engineer   Azure/AWS/Google Cloud Platform

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Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your Lead Data Engineer Azure/AWS/Google Cloud Platform interview at Pylon Management Consulting, 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 Pylon Management Consulting'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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