Bangalore, Karnataka, India
Information Technology
Full-Time
PwC Acceleration Centers in India
Overview
At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.
Key Responsibilities
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes using Teradata, IBM DataStage, and SSIS.
- Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical specifications.
- Implement data integration solutions and ensure data accuracy, consistency, and integrity.
- Develop and maintain data models and schemas in both on-premises and cloud environments, particularly with AWS.
- Utilize data visualization tools like Tableau and Spotfire to create insightful reports and dashboards.
- Optimize and enhance performance of data processing and storage systems.
- Ensure data security and compliance with relevant regulations and best practices.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in Teradata, IBM DataStage, and SSIS for ETL processes.
- Experience with AWS cloud services including but not limited to S3, Redshift, and Lambda.
- Strong skills in data visualization using Tableau and Spotfire.
- Solid understanding of SQL and relational databases.
- Familiarity with data warehousing concepts and best practices.
- Strong problem-solving and analytical skills.
- Experience working in an offshore or distributed team environment.
- Knowledge of additional programming languages such as Python or R.
- Experience with big data technologies like Hadoop or Spark.
- Familiarity with Agile methodologies and DevOps practices.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Strong organizational and time-management skills.
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