Senior Associate Databricks Engineer

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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.

Job Description & Summary: The ideal candidate will need to have 3 to 6 years of experience working in data engineering with a strong focus on utilizing Databricks for data processing and analytics. This role will involve designing, building, and maintaining scalable data pipelines and solutions.

Responsibilities:

· Develop and implement data solutions using Databricks to support analytics and reporting needs. · Collaborate with data scientists and analysts to understand data requirements and deliver solutions. · Optimize data processes and pipelines for performance and scalability. · Ensure data quality and integrity across various data sources. · Troubleshoot and resolve any issues related to data processing. · Stay updated with the latest trends and best practices in data engineering and Databricks Qualifications · Bachelor’s degree in Computer Science, Information Technology, or a related field. · 3 to 6 years of experience in data engineering or a similar role. · Proven experience with Databricks in a production environment. · Strong hands-on working knowledge in Azure Data Factory · Strong knowledge of data processing frameworks such as Spark. · Proficiency in programming languages such as Python, Scala. · Hands-on proficient experience in SQL · Experience with cloud platforms (e.g. AWS, Azure, or Google Cloud). · Excellent problem-solving skills and attention to detail. · Strong communication and collaboration skills.

Mandatory skill sets:

Data Engineer, Databricks, Azure Data Factory, Python, Scala, SQL

Preferred skill sets:

Cloud Platforms

Years of experience required:

3 to 8 years

Education qualification:

Graduate Engineer or Management Graduate

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor Degree, Master Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Cloud Platform

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date