Pwc
Not Applicable
SeniorAssociate_DataEngineer_ApplicationTechnology_Advisory_Kolkata
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate_Data Engineer_Application Technology_Advisory_Kolkata at Pwc. Skills: Databricks, Python, Azure, Data Engineering. Build and optimize ETL/ELT pipelines. Design bronze-silver-gold architecture”
What You'll Achieve.
Transforming raw data into actionable insights; Enabling informed decision-making; Driving business growth; Streamline data-related processes; Make a tangible impact in the real world
Industry & Context.
Analytical Thinking
No Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
Databricks Data Engineering, Python-based software development, Spark-based transformations, CI/CD automation, Databricks asset bundle deployment, production-grade governance practices, 5+ years on Azure Data Stack: ADF, ADLS Gen2, Synapse, Event Hub, 3+ years hands-on with Databricks (Spark, Delta, DLT, Unity Catalog), command of Python with production-grade software engineering practices, Deep experience in CI/CD for Databricks (DAB, CLI, Repos, DevOps, GitHub Actions), knowledge of IaC (Terraform, Bicep) for deploying data infrastructure, Hands-on experience with Git-based workflows, release versioning, rollback production environments, Integrate with various databases (e. g. , Cosmos DB, ) and message queues (e. g. , Kafka, eventhub), Experience in one or more Python frameworks (Django, Flask), Develop and maintain unit and integration tests using frameworks like pytest and unit test, Awareness of observability, monitoring, and security practices, Data Engineering
Nice to Have
Databricks Certified Data Engineer Associate / Professional, Microsoft Certified: Azure Solutions Architect (AZ-305), Microsoft Certified: Azure Data Engineer (DP-203), Terraform Associate (optional), Data Engineer
What You'll Do.
Build and optimize ETL/ELT pipelines
Design bronze-silver-gold architecture
Manage Databricks Unity Catalog
Implement data quality checks
Develop reusable Python libraries
Automate workspace deployment
Configure CI/CD pipelines
Implement deployment promotion workflows
Integrate with databases
Integrate with message queues
Develop and maintain tests
How You'll Work.
Team & Collaboration
Work with product team
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Microsoft **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. Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. _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](https://www.pwc.in/about-us.html). 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 cons
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