Senior Associate - AI and Machine Learning Developer

IN_Senior Associate_GCP Data Engineer_D&A_Advisory _Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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.

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 PWCAt 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: A career within….

Responsibilities:

· Designing, building and deploying cloud solution for enterprise applications, with expertise in Cloud Platform Engineering.  · -Expertise in application migration projects including optimizing technical reliability and improving application performance  · -Good understanding of cloud security frameworks and cloud Security standards  · -Solid knowledge and extensive experience of GCP and its cloud services.  · -Experience with GCP services as Compute Engine, Dataproc, Dataflow, Big Query, Secret Manager, Kubernetes Engine and Cloud Functions.  · Experiencing in Google storage products like Cloud Storage, Persistent Disk, Nearline, Coldline and Cloud Filestore 

Mandatory skill sets:

· Experience in Database products like Datastore, Cloud SQL, Cloud Spanner & Cloud Bigtable  · -Experience with implementing containers using cloud native container orchestrators in GCP  · Strong cloud programming skill with experience in API and Cloud Functions development using Python  · Hands-on experience with enterprise config & DevOps tools including Ansible, BitBucket, Git, Jira, and Confluence. 

· Strong knowledge of cloud Security practices and Cloud IAM Policy preparation for GCP  · Knowledge and experience in API development, AI/ML, Data Lake, Data Analytics, Cloud Monitoring tool like Stackdriver 

Preferred skill sets:

· Ability to participate in fast-paced DevOps and System Engineering teams within Scrum agile processes  · Should have Understanding of data modelling, Data warehousing concepts  · Understand the current application infrastructure and suggest changes to it

Years of experience required:

2 – 4 yrs

Education qualification:

Btech/MBA/MCA

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

Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Machine Learning (ML)

Optional 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 {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Experience Level

Senior Level