IN-Senior Associate_Databricks-- Data and Analytics_Advisory_Gurugram
IN-Senior Associate_Databricks-- Data and Analytics_Advisory_Gurugram
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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
1
Responsibilities:
Job Description: Job Summary: We are seeking a talented Data Engineer with strong expertise in Databricks specifically in Unity Catalog PySpark and SQL to join our data team. Youll play a key role in building secure scalable data pipelines and implementing robust data governance strategies using Unity Catalog. Key Responsibilities: Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance access controls lineage and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists analysts and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD version control and testing practices for data pipelines. Required Skills:
Proven experience with Databricks and Unity Catalog (data permissions lineage audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake data lakehouse architecture and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance RBAC and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow Git Azure Data Factory or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.
Mandatory skill sets:
Databricks
Preferred skill sets:
Databricks
Years of experience required:
4-8 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: Master of Engineering Bachelor of Engineering Master of Business Administration Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Databricks PlatformOptional 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
