Verified Job
IT / Software / Data Analyst
IN_Senior Associate_Data Modeller_Data & Analytics_Advisory_Ahmedabad
IT / Software / Data Analyst
#632932
Remote / WFH
Job Description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
At 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 about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, ****** 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:
Key Attributes: ü - Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services ü - A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes ü - Work with stakeholders to identify business needs and requirements for data-related projects ü - Strong SQL and/or Python or PySpark knowledge ü - Creating data models that can be used to extract information from various sources & store it in a usable format ü - Optimize data models for performance and efficiency ü - Write SQL queries to support data analysis and reporting ü - Monitor and troubleshoot data pipelines ü - Collaborate with software engineers to design and implement data-driven features ü - Perform root cause analysis on data issues ü - Maintain documentation of the data architecture and ETL processes ü - Identifying opportunities to improve performance by improving database structure or indexing methods ü - Maintaining existing applications by updating existing code or adding new features to meet new requirements ü - Designing and implementing security measures to protect data from unauthorized access or misuse ü - Recommending infrastructure changes to improve capacity or performance ü - Experience in Process industry
Mandatory skill sets:
Data Modelling, AWS, ETL
Preferred skill sets:
Data Modelling, AWS, ETL
Years of experience required:
4-8 Years
Education qualification:
BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Modeling
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 (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
At 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 about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, ****** 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:
Key Attributes: ü - Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services ü - A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes ü - Work with stakeholders to identify business needs and requirements for data-related projects ü - Strong SQL and/or Python or PySpark knowledge ü - Creating data models that can be used to extract information from various sources & store it in a usable format ü - Optimize data models for performance and efficiency ü - Write SQL queries to support data analysis and reporting ü - Monitor and troubleshoot data pipelines ü - Collaborate with software engineers to design and implement data-driven features ü - Perform root cause analysis on data issues ü - Maintain documentation of the data architecture and ETL processes ü - Identifying opportunities to improve performance by improving database structure or indexing methods ü - Maintaining existing applications by updating existing code or adding new features to meet new requirements ü - Designing and implementing security measures to protect data from unauthorized access or misuse ü - Recommending infrastructure changes to improve capacity or performance ü - Experience in Process industry
Mandatory skill sets:
Data Modelling, AWS, ETL
Preferred skill sets:
Data Modelling, AWS, ETL
Years of experience required:
4-8 Years
Education qualification:
BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Modeling
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 (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
