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 looking for a skilled AWS Data Engineer with strong expertise inSnowflake, Airflow and Python, to join our team in Bnagalore. The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure/AWS/GCP cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies. 

Responsibilities: 

· Skill Set: AWS, Snowflake, Kafka, Airflow, GitHub, PySpark Key Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines • Ingest data from various sources (APIs, databases, files, etc.) • Implement both real-time and batch processing solutions based on use case requirements • Ensure data quality through validation and cleansing processes • Collaborate with Product Managers and Business Stakeholders to gather and understand data requirements • Translate business needs into technical specifications • Ensure data security, access control, and compliance with relevant policies • Maintain documentation and follow best practices for data engineering Ideal candidate profile: 4-8 years of hands-on experience with Snowflake, Airflow and Pyspark in any cloud platform (AWS/Azure/GCP). The candidate should be serving notice with LWD in the next 3 weeks. 

Mandatory skill sets: 

· Strong SQL skills (Must-Have) · Snowflake(Must-Have) · Python programming (Must-Have) · Spark (Must-Have) · Airflow 

Preferred skill sets (Good toHave): 

· Strong SQL skills (Must-Have) · Snowflake(Must-Have) · Python programming (Must-Have) · Spark (Must-Have) · Airflow 

Years of experience required: 5-7 years 

Education qualification: BE/B.Tech/MBA/MCA