Job highlights

- Candidate should have hands on experience in performance tuning Should be able to write scalable and effective python codes .
- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities .
- Working experience in PySpark .
- Experience with Spark .
- Experience with integration of data from multiple data sources .
- A career within Data and Analytics services will provide you with the chance 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
- Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data
- Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers

Design, create and maintain databases through multiple product lifecycle environments, from development to production systems Configure and maintain database servers and processes, monitor system health and performance, to ensure high levels of performance, availability, and security.



Convert complex business requirements into technical specifications to build scalable and reliable data solutions Apply data modelling techniques to ensure development and implementation support efforts meet integration and performance expectations.

Independently analyses, solve, and correct issues in real time on production, providing problem resolution end-to-end.

Refine and automate regular processes, track issues, and document changes. Develop complex query, performance tuning, stored procedures and triggers, scheduled jobs, schema refinement.

Perform scheduled maintenance and support release deployment activities after hours.

Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Candidate should have hands on experience in performance tuning Should be able to write scalable and effective python codes

Working experience in PySpark

Knowledge of object relational mapping (ORM)

Expert in python with knowledge of Django / Flask Web Frameworks

Working experience with AZURE cloud (ADLS, Data Bricks, ADF etc) is Preferred

Should have exposures to Database

Strong in Unit testing, Debugging, Error Handling

Should be a good team player

Should be able analyze the requirement, develop the scripts/POCs

Should have knowledge on deployments and documentation of the deliverables 2.Spark Scala Developer Responsibilities

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

Implementing ETL process

Monitoring performance and advising any necessary infrastructure changes

Defining data retention policies Skills and Qualifications

Proficient understanding of distributed computing principles

Management of Hadoop cluster, with all included services

Ability to solve any ongoing issues with operating the cluster

Proficiency with Spark, Scala, or PySpark

Good knowledge of Big Data querying tools

Experience with Spark

Experience with integration of data from multiple data sources

Knowledge of various ETL techniques and frameworks

Experience with Azure and its Services like, ADLS, ADB, ADF, AAS.

📌 Associate (Kolkata)
🏢 PwC Service Delivery Center
📍 Kolkata