IN-Senior Associate_Data Modeller_Data & Analytics_Advisory_Ahmedabad
IN-Senior Associate_Data Modeller_Data & Analytics_Advisory_Ahmedabad
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Key Attributes: - 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 - A strong understanding of data modelling data structures databases (Redshift) and ETL processes - Work with stakeholders to identify business needs and requirements for data-related projects - Strong SQL and/or Python or PySpark knowledge - Creating data models that can be used to extract information from various sources & store it in a usable format - Optimize data models for performance and efficiency - Write SQL queries to support data analysis and reporting - Monitor and troubleshoot data pipelines - Collaborate with software engineers to design and implement data-driven features - Perform root cause analysis on data issues - Maintain documentation of the data architecture and ETL processes - Identifying opportunities to improve performance by improving database structure or indexing methods - Maintaining existing applications by updating existing code or adding new features to meet new requirements - Designing and implementing security measures to protect data from unauthorized access or misuse - Recommending infrastructure changes to improve capacity or performance - 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 MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
ETL DevelopmentOptional 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
