Data Engineer-aas-Associate

2 - 6 years

0 Lacs

Posted:17 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an Associate at PwC, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Your responsibilities at this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas - Be flexible to work in stretch opportunities/assignments - Demonstrate critical thinking and the ability to bring order to unstructured problems - Conduct Ticket Quality and deliverables review, Status Reporting for the project - Adhere to SLAs, have experience in incident management, change management and problem management - Seek and embrace opportunities that provide exposure to different situations, environments, and perspectives - Communicate straightforwardly, in a structured way, when influencing and connecting with others - Read situations and modify behavior to build quality relationships - Uphold the firm's code of ethics and business conduct - Demonstrate leadership capabilities by working directly with clients and leading engagements - Collaborate in a team environment that includes client interactions, workstream management, and cross-team collaboration - Be a good team player, take up cross competency work, and contribute to COE activities - Manage Escalation/Risk management effectively Required Skills: - AWS Cloud Engineer In this role, you are expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: - Minimum 2 years hands-on experience building advanced Data warehousing solutions on leading cloud platforms - Minimum 1-3 years of Operate/Managed Services/Production Support Experience - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Design and implementation of data pipelines for data ingestion, processing, and transformation - Building efficient, ETL/ELT processes using industry-leading tools like AWS, AWS GLUE, PySpark, SQL, Python, etc. - Implementing data validation and cleansing procedures to ensure data quality and integrity - Monitoring and troubleshooting data pipelines, resolving issues related to data processing, transformation, or storage - Implementing and maintaining data security and privacy measures - Working SQL knowledge and experience with relational databases - Building and maintaining Data Governance solutions using industry-leading tools - Experience in ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps - Strong communication, problem-solving, quantitative, and analytical abilities Nice To Have: - AWS certification Please note that these are the key responsibilities and requirements for the mentioned positions at PwC.,

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