Job Description
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.
Job Description And Key Responsibilities
• Design, develop, and maintain robust, scalable ETL pipelines using tools like Apache Spark, Kafka, and other big data technologies.
• Ingest, process, and store structured, semi-structured, and unstructured data from various sources.
• Demonstrate proficiency in Python, PySpark, Spark, and a solid understanding of design patterns (e.g., SOLID).
• Optimize ETL processes to ensure scalability and efficiency.
• Work with various file formats, such as JSON, CSV, Parquet, and Avro.
• Should have intermediate level knowledge of RDBMS, NoSQL databases, and CAP theorem principles
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and optimize data models for performance and scalability.
• Document data processes, architectures, and models comprehensively to facilitate cross-team understanding and maintenance.
• Implement and maintain CI/CD pipelines using tools like Docker, Kubernetes, and GitHub.
• Ensure data quality, integrity, and security across all systems and processes.
• Implement and monitor data governance best practices.
• Stay up-to-date with emerging data technologies and trends, and identify opportunities for innovation and improvement.
• Knowledge of other Cloud Data/Integration/Orchestration Platforms- Snowflake, Databricks, Azure Data Factory etc. is good to have
Minimum years’ experience required 3-4 of experience in Programming Language (Any of Python, Scala, Java) (Python Preferred), Apache Spark, ADF, Azure Databricks, Postgres, Knowhow of NoSQL is desirable, ETL (Batch/Streaming), Git , Familiarity with Agile.
Required Qualification: BE / master’s in design / B – Design / B.Tech / HCI – Certification (Preferred)
Job Description And Key Responsibilities
• Design, develop, and maintain robust, scalable ETL pipelines using tools like Apache Spark, Kafka, and other big data technologies.
• Ingest, process, and store structured, semi-structured, and unstructured data from various sources.
• Demonstrate proficiency in Python, PySpark, Spark, and a solid understanding of design patterns (e.g., SOLID).
• Optimize ETL processes to ensure scalability and efficiency.
• Work with various file formats, such as JSON, CSV, Parquet, and Avro.
• Should have intermediate level knowledge of RDBMS, NoSQL databases, and CAP theorem principles
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and optimize data models for performance and scalability.
• Document data processes, architectures, and models comprehensively to facilitate cross-team understanding and maintenance.
• Implement and maintain CI/CD pipelines using tools like Docker, Kubernetes, and GitHub.
• Ensure data quality, integrity, and security across all systems and processes.
• Implement and monitor data governance best practices.
• Stay up-to-date with emerging data technologies and trends, and identify opportunities for innovation and improvement.
• Knowledge of other Cloud Data/Integration/Orchestration Platforms- Snowflake, Databricks, Azure Data Factory etc. is good to have
Minimum years’ experience required 3-4 of experience in Programming Language (Any of Python, Scala, Java) (Python Preferred), Apache Spark, ADF, Azure Databricks, Postgres, Knowhow of NoSQL is desirable, ETL (Batch/Streaming), Git , Familiarity with Agile.
Required Qualification: BE / master’s in design / B – Design / B.Tech / HCI – Certification (Preferred)
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineering - Experienced Associate position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.