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Urgent! IN-Associate_Spark_Data & Analytics_Advisory_Gurugram Job Opening In DLF Phase IV – Now Hiring PwC
Description
& SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions.*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
Responsibilities:
· AWS Service Implementation: · Design, develop, and maintain data solutions using AWS services, with a particular focus on S3, Athena, Glue, EMR, and Redshift.
· Implement and optimize data lakes and data warehouses on AWS platforms.
· 2.
Data Pipeline Development: · Create and maintain efficient ETL processes using PySpark and other relevant tools.
· Develop scalable and performant data pipelines to process large volumes of data.
· Implement data quality checks and monitoring systems to ensure data integrity.
· 3.
Database Management: · Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance.
· Design and implement database schemas that align with business requirements and data models.
· 4.
Performance Optimization: · Continuously monitor and optimize the performance of data processing jobs and queries.
· Implement best practices for cost optimization in AWS environments.
· Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes.
· 5.
Collaboration and Documentation: · Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
· Develop and maintain comprehensive documentation for data architectures, processes, and best practices.
· Participate in code reviews and contribute to the team's knowledge base.
· Required Qualifications: · Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
· 2-7 years of experience in data engineering, with a focus on AWS technologies.
· Strong hands-on experience with AWS services, particularly S3, Athena, Glue, EMR, and Redshift.
· Proficiency in Python and PySpark for data processing and analysis.
· Extremely good with SQL/PL SQL · Demonstrated ability to optimize data pipelines and queries for performance.
· Strong problem-solving skills and attention to detail.
· Preferred Skills: · AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect).
· Familiarity with data visualization tools (e.g., Tableau, Power BI).
· Experience with data modeling and data warehouse concepts.
· Innovation thinking and creativity in solution delivery
Mandatory skill sets:
AWS ·
Preferred skill sets:
AWS
Years of experience required:
2+
Education qualification:
BE/BTech/MBA/MCA
Education
Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications
Required Skills
Spark LightersOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more}Desired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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Unlock Your IN Associate_Spark_Data Potential: Insight & Career Growth Guide
Real-time IN Associate_Spark_Data Jobs Trends in DLF Phase IV, 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 Associate_Spark_Data in DLF Phase IV, 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 70760 jobs in India and 19 jobs in DLF Phase IV. This comprehensive analysis highlights market share and opportunities for professionals in IN Associate_Spark_Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! PwC is currently hiring and seeking a IN Associate_Spark_Data & Analytics_Advisory_Gurugram to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: IN Associate_Spark_Data & Analytics_Advisory_Gurugram Jobs DLF Phase IV.
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:The average salary range for a IN Associate_Spark_Data & Analytics_Advisory_Gurugram Jobs India varies, but the pay scale is rated "Standard" in DLF Phase IV. 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.
Key qualifications for IN Associate_Spark_Data & Analytics_Advisory_Gurugram 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.
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Before the Interview:To prepare for your IN Associate_Spark_Data & Analytics_Advisory_Gurugram interview at PwC, research the company, understand the job requirements, and practice common interview questions.
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