IN_Manager_SQL, Data structures_Data and Analytics_Advisory_Bangalore

Job description

Description

& SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions.

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients.

You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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 .

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.

Responsibilities:

As a Software Development Engineer 3 at Tesco; you hold a senior Individual Contributor role; demonstrating active technical leadership with proven impact across teams and the wider directorate.

You take ownership and accountability for product development within your domain; contributing to organizational capabilities through coaching; mentoring; and involvement in hiring processes.

In this position; you drive the development of data engineering solutions; ensuring a balance between functional and non-functional requirements.

Your responsibilities include planning and leading data engineering activities for strategic; large; and complex programs; monitoring the application of data standards and architectures; and contributing to organisational policies and guidelines for data engineering.

As a technical leader; you play a crucial role in influencing technology choices; providing perspective across teams; and actively participating in critical product design and architecture efforts.

You excel in delivering impactful projects; demonstrating technical expertise; and contributing to the maturity of development processes.

Comfortable in managing priorities and navigating ambiguity; you utilize data-driven decision-making and effectively communicate with your team and stakeholders.

Working within a multidisciplinary agile team; you are hands-on with product implementation across the entire stack; including infrastructure and platform-related efforts.

Your role involves developing scalable data applications; ETL; Data Lake implementation; and Analytics processing pipelines.

Additionally; you lead a team of Data Engineers in a technical capacity; providing guidance and mentorship to junior and mid-level team members.

What you'll do: • Big data development experience for large enterprise • Experience in building streaming pipeline using spark streaming; Kafka/event hub or similar technology stack • Experience to develop; implement and tune distributed data processing pipelines that process large volume of data • Strong experience in Architecture and Design for building enterprise scale product with focus on scalability; low-latency; and fault-tolerance.

• Expertise in writing complex; highly-optimized SQL queries & Data Pipelines across large data sets • Must be able to work effectively in a team setting as well as individually.

• Ability to communicate and collaborate with external teams and stakeholders.

• Must have growth mindset to learn and contribute across different modules or services.

What you'll bring: - Working knowledge of Big Data Engineering; Ingestion & Integration with Third party / in house Data sources; built Metadata Management; Data Quality; Master Data Management Solutions;Structured/Unstructured data - Excellent written and oral communications kills.

- Self-starter with quick learning abilities.

- Multi-task and should be able to work under stringent deadlines.

- Ability to understand and work on various internal systems.

- Ability to work with multiple stakeholders.

- Leading multi-skilled agile team and delivering high visibility and high impact projects

Mandatory skill sets:

Spark; Scala or Java (Scala preferred); Cloud Native; SQL and Data structures

Preferred skill sets:

• Experience in Hadoop; Spark and Distributed computing frameworks.

• Professional hand-on experience in Scala.

• Professional hand-on experience in Sql and Query Optimization.

• Strong computer science fundamentals: Data Structure and Algorithms • Experience in programming design patterns.

• Experience in system design.

• Should have Experience with CI/CD tool like Git; Docker and Jenkins etc.

• Should have hand-on experience in Data processing and Data manipulation skills like Data warehousing concepts; SCD types etc.

• At least one cloud exposure (Azure is preferred).

• Exposure to Streaming data use-cases via kafka or structured streaming etc.

• Experience of NoSQL; Messaging Queue; Orchestration Framework (Airflow/Oozie) • Exposure to multi-hop Architecture would be added advantage • Working knowledge of Ceph; Docker; Kubernetes & Kafka Connect is added advantage • Working experience with Data Lakes; Medallion Architecture; Parquet & Apache Iceberg is desirable • Prefer to have Experience in Data Governance tools such as Alation; Collibra; Data Quality;Data Lineage and MetaData.

Years of experience required:

- 8 to 11.

Education qualification:

B.E, B.Tech, MCA, M.Tech, M.E

- Bachelor's degree in computer science; information technology; engineering; information systems and 8+ years’ experience in software engineering or related area at a technology; retail; or data-driven company.

Education

Degrees/Field of Study required: Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

January 30, 2026

Required Skill Profession

Computer Occupations