IN Senior Associate Snaplogic Data & Analaytics Advisory Bangalore

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…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

· DE/ETL JD: · Job Overview: · We are looking for a Senior Data Engineer with deep experience in SnapLogic, SQL, ETL pipelines, and data warehousing, along with at least 3-4 years of hands-on experience with Databricks. The ideal candidate has a strong background in designing scalable data solutions and working across cloud and big data environments. Familiarity with Python is a strong plus. · · Key Responsibilities: · Design, build, and maintain data integration and ETL pipelines using SnapLogic · Develop and optimize complex SQL queries to support business analytics and reporting · Work with structured and unstructured data in large-scale data warehouse environments · Leverage Databricks for advanced data processing, transformation, and analytics · Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements · Ensure data quality, integrity, and governance across platforms · Create clear documentation for data workflows, architecture, and processes · Participate in code reviews and promote best practices in data engineering · · Required Qualifications: · 5+ years of experience with SnapLogic in enterprise-level data integration projects · 6+ years of experience with ETL pipeline development and data warehousing

· Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) · 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) · Solid understanding of cloud data ecosystems and data modeling principles · Excellent problem-solving and communication skills · · Preferred / Nice-to-Have Skills: · Experience with Python for scripting or data processing tasks · Familiarity with CI/CD practices · Knowledge of data governance, privacy, and compliance best practices ·

Mandatory skill sets:

Snaplogic, SQL, ETL

Preferred skill sets:

Snaplogic, SQL, ETL

Years of experience required:

4 - 8

Education qualification:

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Science, Machine Learning

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