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

IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India Job Opening In Kalhalli – Now Hiring PwC


Job description

Description

& SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world.

We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.

Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.

Learn more .

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.

We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth.

To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities: 

Job title: Data Engineer

About the role:

As a Junior/Senior Data Engineer, you'll be taking the lead in designing and maintaining complex data ecosystems.

Your experience will be instrumental in optimizing data processes, ensuring data quality, and driving data-driven decision-making within the organization.

Responsibilities:

  • Architecting and designing complex data systems and pipelines.
  • Leading and mentoring junior data engineers and team members.
  • Collaborating with cross-functional teams to define data requirements.
  • Implementing advanced data quality checks and ensuring data integrity.
  • Optimizing data processes for efficiency and scalability.
  • Overseeing data security and compliance measures.
  • Evaluating and recommending new technologies to enhance data infrastructure.
  • Providing technical expertise and guidance for critical data projects.
  • Required skills & experience:

  • Proficiency in designing and building complex data pipelines and data processing systems.
  • Leadership and mentorship capabilities to guide junior data engineers and foster skill development.
  • Strong expertise in data modeling and database design for optimal performance.
  • Skill in optimizing data processes and infrastructure for efficiency, scalability, and cost-effectiveness.
  • Knowledge of data governance principles, ensuring data quality, security, and compliance.
  • Familiarity with big data technologies like Hadoop, Spark, or NoSQL.
  • Expertise in implementing robust data security measures and access controls.
  • Effective communication and collaboration skills for cross-functional teamwork and defining data requirements.
  • Skills:

  • Cloud: Azure/GCP/AWS
  • DE Technologies: ADF, Big Query, AWS Glue etc.,
  • Data Lake: Snowflake, Data Bricks etc.,
  • Mandatory skill sets: 

    · Cloud: Azure/GCP/AWS

    · DE Technologies: ADF, Big Query, AWS Glue etc.,

    · Data Lake: Snowflake, Data Bricks etc.

    Preferred skill sets: 

    · Cloud: Azure/GCP/AWS

    · DE Technologies: ADF, Big Query, AWS Glue etc.,

    · Data Lake: Snowflake, Data Bricks etc.

    Years of experience required: 

    2-4 years 

    Education qualification: 

    BE/BTECH, ME/MTECH, MBA, MCA 

    Education

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

    Certifications

    Required Skills

    AWS Glue, Microsoft Azure

    Optional Skills

    Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Hadoop, Azure Data Factory, Communication, 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, Data Warehouse, Data Warehouse Indexing {+ 13 more}

    Desired Languages

    Travel Requirements

    Available for Work Visa Sponsorship?

    Government Clearance Required?

    Job Posting End Date

    Required Skill Profession

    Computer Occupations


    • Job Details

    Related Jobs

    PwC hiring IN_Associate_Data Privacy_ITRA_Advisory_Mumbai Job in Shivaji Park, Maharashtra, India
    PwC
    Shivaji Park, Maharashtra, India
    Aptiv hiring Cloud Engineer_Data processing(Golang, AWS) Job in Chennai, Tamil Nadu, India
    Aptiv
    Chennai, Tamil Nadu, India
    Michael Page hiring Global CTO and India MD Job in Ahmedabad, Gujarat, India
    Michael Page
    Ahmedabad, Gujarat, India
    Confidential hiring Technology and Innovation Leader - India Job in Bengaluru, Karnataka, India
    Confidential
    Bengaluru, Karnataka, India
    Accordion India hiring India Legal and Compliance Lead Job in Hyderabad, Telangana, India
    Accordion India
    Hyderabad, Telangana, India
    Danaher Corporation hiring Director - Facilities and Administration, India Job in Bangalore, , India
    Danaher Corporation
    Bangalore, , India

    Unlock Your IN_Associate_Data Engineer_Data Potential: Insight & Career Growth Guide


    Real-time IN_Associate_Data Engineer_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 IN_Associate_Data Engineer_Data in Kalhalli, India, highlighting market share and opportunities for professionals in IN_Associate_Data Engineer_Data roles.

    Are You Looking for IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India Job?

    Great news! is currently hiring and seeking a IN_Associate_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_Associate_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_Associate_Data Engineer_Data and Analytics_Advisory_Pan India?

    Key qualifications for IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India 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.

    How Can I Improve My Chances of Getting Hired for IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India?

    To improve your chances of getting hired for IN_Associate_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_Associate_Data Engineer_Data and Analytics_Advisory_Pan India Job Success

    PwC interview tips for IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India

    Here are some tips to help you prepare for and ace your IN_Associate_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_Associate_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_Associate_Data Engineer_Data and Analytics_Advisory_Pan India Positions

    Setting up job alerts for IN_Associate_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!