IN-Senior Associate_Data Engineer-Databricks-- Data and Analytics_Advisory_Pan India
IN-Senior Associate_Data Engineer-Databricks-- Data and Analytics_Advisory_Pan India
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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 you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more about 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.
Job Description & Summary: A career within PWC
Responsibilities:
Experience:3-8 years in Data Engineering Job Summary We are looking for a skilled and motivated Data Engineer with strong hands-on experience in Databricks PySpark and cloud-based data platforms. The ideal candidate will be responsible for designing and developing scalable data pipelines and solutions that support advanced analytics and business intelligence initiatives. This role requires a deep understanding of cloud data lakes data warehousing and modern data engineering practices. --- Key Responsibilities Design and develop data pipelines using Databricks and PySpark to ingest process and transform large volumes of data. Implement ETL/ELT workflows to move data from source systems to Data Warehouses Data Lakes and Lake Houses using cloud-native tools. Work with structured and unstructured data stored in AWS or Azure Data Lakes. Apply strong SQL and Python skills to manipulate and analyze data efficiently. Collaborate with cross-functional teams to deliver cloud-based serverless data solutions. Design innovative data solutions that address complex business requirements and support data-driven decision-making. Maintain documentation and enforce best practices for data architecture governance and performance optimization.
Preferred Qualifications: Bachelors degree in Computer Science Information Technology or related field. 4 years of hands-on project experience in Databricks PySpark and SQL on any cloud platform (AWS or Azure). Strong programming skills in -depth knowledge of Data Warehousing Database technologies and Big Data ecosystem. Proven experience working with cloud-based data lakes (Azure Data Lake Storage Gen2 or AWS S3). Familiarity with DevOps practices including CI/CD Infrastructure as Code (IaC) and automation is a plus. Development experience Design and Develop Data Pipelines: Create pipelines to ingest process and transform data deliver Cloud-based Serverless solutions to the customers. Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
Mandatory
skill sets:
PySpark Databricks
Preferred
skill sets:
PySpark Databricks
Years of
experience
required:
3-8 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 Bachelor of Technology Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
PySparkOptional 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 28 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
