IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India
PwC is hiring an IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India. Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions visa sponsorship.
- PwC has 3,700+ other open roles on Level.
AI in this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
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, 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, 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 (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
AWS Glue, Microsoft AzureOptional 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 (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
How we rate this
IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India at PwC rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $147k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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