Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore.
India Jobs Expertini

Urgent! IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore Job Opening In Kalhalli – Now Hiring PwC

IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore



Job description

Description

& Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms.

If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you.

What you will do: · Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments · Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses · Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows · Create and maintain data models in Databricks, ensuring data quality and consistency · Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency · Implement data governance and security best practices in cloud environments · Collaborate across teams to translate business requirements into robust technical solutions

Mandatory skill sets:

‘Must have’ knowledge, skills and experiences · 5+ years of hands-on experience in Data Engineering · Strong command over SQL, Python, and PySpark for data manipulation and analysis · Deep experience with data warehousing concepts and implementation in cloud environments (Azure/GCP) · Proficiency in data modeling techniques for cloud-based systems (Databricks) · Solid understanding of ETL/ELT processes and best practices in cloud architectures · Experience with dimensional modeling, star schemas, and data mart design · Strong analytical thinking and problem-solving skills

Preferred skill sets:

‘Good to have’ knowledge, skills and experiences · Familiarity with data lake architectures and delta lake concepts · Knowledge of data warehouse migration strategies to cloud · Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)

· Exposure to data quality and data governance tools and methodologies · Understanding of data virtualization and federated query engines · Understanding of performance optimization techniques for cloud-based data warehouses · Certifications in Azure (e.g., Azure Data Engineer) or GCP (e.g., Professional Data Engineer)

Years of experience required:

Experience · 5-10 years

Education qualification:

o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:

Certifications

Required Skills

Data Warehousing Testing, Python (Programming Language), Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your IN_Senior Associate_Senior Potential: Insight & Career Growth Guide


  • Real-time IN_Senior Associate_Senior Jobs Trends in Kalhalli, 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 IN_Senior Associate_Senior in Kalhalli, 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 227 jobs in India and 75 jobs in Kalhalli. This comprehensive analysis highlights market share and opportunities for professionals in IN_Senior Associate_Senior roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore Job?

    Great news! is currently hiring and seeking a IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore 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. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore 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_Senior Data Engineer_Data and Analytics_Advisory_Bangalore?

    Key qualifications for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore 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.

  • How Can I Improve My Chances of Getting Hired for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore?

    To improve your chances of getting hired for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore, 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_Senior Data Engineer_Data and Analytics_Advisory_Bangalore Job Success
    PwC interview tips for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore

    Here are some tips to help you prepare for and ace your 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_Senior Data Engineer_Data and Analytics_Advisory_Bangalore 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_Senior Data Engineer_Data and Analytics_Advisory_Bangalore Positions

    Setting up job alerts for IN_Senior Associate_Senior Data Engineer_Data and Analytics_Advisory_Bangalore 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!