AWS Data Engineer - Senior Associate

Role: AWS Data engineer - Senior Associate

Experience: : 5.5 -9 years

Key Skills: AWS

Educational Qualification: BE / B Tech / ME / M Tech / MBA

Work Location: Bangalore

Job Description

As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
• Flexible to work in stretch opportunities/assignments.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Ticket Quality and deliverables review, Status Reporting for the project.
• Adherence to SLAs, experience in incident management, change management and problem management.
• Seek and embrace opportunities which give exposure to different situations, environments, and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.
• Demonstrate leadership capabilities by working, with clients directly and leading the engagement.
• Work in a team environment that includes client interactions, workstream management, and cross-team collaboration.
• Good team player, take up cross competency work and contribute to COE activities.
• Escalation/Risk management.

Position Requirements:

Required Skills:

AWS Cloud Engineer

Job description:

Candidate is expected todemonstrateextensive knowledge and/or a proven record of success in the following areas:

• Should have minimum 5years hand on experience building advanced Data warehousing solutions on leading cloud platforms.
• Should have minimum 3-4yearsof Operate/Managed Services/Production Support Experience
• Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.
• Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes.
• Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS.
• Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage.
• Implementing andmaintainingdata security and privacy measures, including access controls and encryption, to protect sensitive data
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Should have experience in Building andmaintainingData Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools
• Scaling andoptimizingschema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments.
• Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.
• Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.
• Should have Strong communication, problem solving, quantitative and analytical abilities.

Nice to have:

• AWS certification

Managed Services- Data, Analytics & Insights Managed Service

At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients better.

Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our clients enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwCs Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment.

Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective.

As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.