INAssociateSnowflake DeveloperData & AnalyticsAdvisoryChennai

Line of Service

Advisory

Industry / Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms models and systems to enable intelligent decision-making and automation.

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 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities :

Job Description : Knowledge of SQL language and cloud-based technologies Data warehousing concepts data modeling metadata management Data lakes multi-dimensional models data dictionaries Migration to AWS or Azure Snowflake platform Performance tuning and setting up resource monitors Snowflake modeling roles databases schemas SQL performance measuring query tuning and database tuning ETL tools with cloud-driven skills Integration with third-party tools Ability to build analytical solutions and models Coding in languages like Python Managing sets of XML JSON and CSV from disparate sources Snowflake warehousing architecture processing administration Data ingestion into Snowflake Enterprise-level technical exposure to Snowflake applications Proven track record of data migration and optimization within Snowflake Design and implement scalable and efficient data storage solutions using Snowflake. Write optimize and troubleshoot SQL queries within the Snowflake environment. Integrate Snowflake with various data sources and third-party tools. Ensure data security and compliance with industry standards. Collaborate with cross-functional teams to meet data-driven business objectives. Stay updated with the latest Snowflake features and best practices. Proficient in SQL and familiar with ETL processes Experience with data modeling and cloud computing environments Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning Understanding of data compliance and security best practices Experience in performance tuning and cost optimization in a cloud data platform Familiarity with BI tools integration such as Tableau.

Mandatory skill sets : Snowflake

Preferred skill sets :

Snowflake

Years of experience required :

3-10 Years

Education qualification :

BE MCA

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

Degrees / Field of Study required : MBA (Master of Business Administration) Bachelor of Technology Bachelor of Engineering

Degrees / Field of Study preferred :

Certifications (if blank certifications not specified)

Required Skills

Snowflake Schema

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Apache Airflow Apache Hadoop Azure Data Factory Communication 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 Data Quality Data Strategy 22 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

Required Experience :

IC

Employment Type : Full-Time

Experience : years

Vacancy : 1