• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
India Jobs Expertini

IN_Senior Associate_Cloud Data Engineer-- Data and Analytics_Advisory_Pan India Job Opening In Kalhalli – Now Hiring PwC

IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India

    India Jobs Expertini Expertini India Jobs Kalhalli Other General In_senior Associate_cloud Data Engineer Data And Analytics_advisory_pan India

Job description

Description

We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks, and GCP.

The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing.

They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions.

 Key Responsibilities

 - Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks, and GCP.


- Implement data ingestion and transformation processes to facilitate efficient data warehousing.


- Utilize cloud services to enhance data processing capabilities: 
 - AWS : Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS.

 - Azure : Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus.

 - GCP : Dataflow, BigQuery, DataProc, Cloud Functions, Bigtable, Pub/Sub, Data Fusion.

- Optimize Spark job performance to ensure high efficiency and reliability.


- Stay proactive in learning and implementing new technologies to improve data processing frameworks.


- Collaborate with cross-functional teams to deliver robust data solutions.


- Work on Spark Streaming for real-time data processing as necessary.

 Qualifications:  

- 4-7 years of experience in data engineering with a strong focus on cloud environments.


- Proficiency in PySpark or Spark is mandatory.


- Proven experience with data ingestion, transformation, and data warehousing.


- In-depth knowledge and hands-on experience with cloud services(AWS/Azure/GCP): 
- Demonstrated ability in performance optimization of Spark jobs.


- Strong problem-solving skills and the ability to work independently as well as in a team.


- Cloud Certification (AWS, Azure, or GCP) is a plus.


- Familiarity with Spark Streaming is a bonus.

Mandatory skill sets:  

Python, Pyspark, SQL with (AWS or Azure or GCP) 

Preferred skill sets:  

Python, Pyspark, SQL with (AWS or Azure or GCP) 

Years of experience required:  

4-7 years 

Education qualification:  

BE/BTECH, ME/MTECH, MBA, MCA 

Education

Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Python (Programming Language), Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Required Skill Profession

Other General


  • Job Details

Related Jobs


Unlock Your IN_Senior Associate_Cloud Potential: Insight & Career Growth Guide


Real-time IN_Senior Associate_Cloud 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 IN_Senior Associate_Cloud in Kalhalli, India, highlighting market share and opportunities for professionals in IN_Senior Associate_Cloud roles.

399 Jobs in India
399
142 Jobs in Kalhalli
142
Download In_senior Associate_cloud Jobs Trends in Kalhalli and India

Are You Looking for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India Job?

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

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 PwC 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 IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kalhalli. 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 IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India?

Key qualifications for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India 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.

How Can I Improve My Chances of Getting Hired for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India?

To improve your chances of getting hired for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India Job Success

PwC interview tips for IN_Senior Associate_Cloud Data Engineer   Data and Analytics_Advisory_Pan India

Here are some tips to help you prepare for and ace your IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India job interview:

Before the Interview:

Research: Learn about the PwC'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.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

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

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India interview at PwC, 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 PwC'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!

How to Set Up Job Alerts for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India Positions

Setting up job alerts for IN_Senior Associate_Cloud Data Engineer Data and Analytics_Advisory_Pan India is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!