Full Stack Development Manager - Data and Analytics

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Gurugram District

Sur place

INR 2 800 000 - 4 000 000

Plein temps

Il y a 11 jours

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Résumé du poste

PwC is seeking a seasoned Snowflake Data Engineer to design and build robust data infrastructure for clients in India. You will develop ETL/ELT pipelines, optimize Snowflake data models, and implement DBT workflows using AWS Glue, Lambda, and Step Functions.

Collaboration with analysts and stakeholders is key to delivering high-quality data solutions. Ideal candidates bring 5–8 years of experience, strong Snowflake and AWS skills, and exposure to Airflow and CI/CD.

Qualifications

Experience in Snowflake, SQL, and data modelling.

Responsabilités

Develop ETL/ELT pipelines using AWS Glue, Step Functions, Lambda, and DMS.
Design and optimize data pipelines and models in Snowflake.
Implement and maintain DBT workflows for data transformation and modelling.
Write efficient SQL queries for data extraction and reporting.
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
Integrate data from various sources using Python.
Orchestrate workflows using Airflow or similar tools.
Ensure data quality, governance and security across the pipeline.
Work with CI/CD tools to automate deployment and testing of data workflows.
Optimize performance and cost of Snowflake workloads.
Leverage AWS cloud services for scalable data solutions.

Connaissances

Snowflake SQL

Data Modelling

Python

AWS Glue

AWS Lambda

Step Functions

Airflow

CI/CD

PL/SQL

Teradata

DBT

Formation

BE/BTech

ME/MTech

MBA

MCA

Outils

Snowflake

SQL

AWS

Databricks

Description du poste

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 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

We are seeking experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake , SQL , Data Modelling , AWS – Glue, Lambda, Step Functions and Python , along with exposure to modern data orchestration and cloud platforms.

Responsibilities

Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
Design, develop, and optimize data pipelines and data models in Snowflake.
Implement and maintain DBT workflows for data transformation and modeling.
Write efficient and scalable SQL queries for data extraction and reporting.
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
Integrate data from various sources using Python.
Orchestrate workflows using Apache Airflow or similar tools.
Ensure data quality, integrity, and governance across the pipeline.
Work with CI/CD tools to automate deployment and testing of data workflows.
Optimize performance and cost of Snowflake workloads.
Leverage cloud services from AWS for scalable data solutions.

Primary Skills