Job
Description
At PwC, the focus in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You 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 concentrate on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities include developing and implementing data pipelines, data integration, and data transformation solutions. As an AWS Architect / Manager at PwC - AC, you will interact with Offshore Manager/Onsite Business Analyst to understand the requirements and will be responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. Strong experience in AWS cloud technology is required, along with planning and organization skills. You will work as a cloud Architect/lead on an agile team and provide automated cloud solutions, monitoring the systems routinely to ensure that all business goals are met as per the Business requirements. **Position Requirements:** **Must Have:** - Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions - Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS - Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, Big Data model techniques using Python / Java - Design scalable data architectures with Snowflake, integrating cloud technologies (AWS, Azure, GCP) and ETL/ELT tools such as DBT - Guide teams in proper data modeling (star, snowflake schemas), transformation, security, and performance optimization - Experience in load from disparate data sets and translating complex functional and technical requirements into detailed design - Deploying Snowflake features such as data sharing, events, and lake-house patterns - Experience with data security and data access controls and design - Understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modeling) - Good knowledge of AWS, Azure, or GCP data storage and management technologies such as S3, Blob/ADLS, and Google Cloud Storage - Proficient in Lambda and Kappa Architectures - Strong AWS hands-on expertise with a programming background preferably Python/Scala - Knowledge of Big Data frameworks and related technologies with experience in Hadoop and Spark - Strong experience in AWS compute services like AWS EMR, Glue, and Sagemaker and storage services like S3, Redshift & Dynamodb - Experience with AWS Streaming Services like AWS Kinesis, AWS SQS, and AWS MSK - Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql, and Spark Streaming - Experience in flow tools like Airflow, Nifi, or Luigi - Knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build, and Code Commit - Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules - Understanding of Cloud data migration processes, methods, and project lifecycle - Business/domain knowledge in Financial Services/Healthcare/Consumer Market/Industrial Products/Telecommunication, Media and Technology/Deal advisory along with technical expertise - Experience in leading technical teams, guiding and mentoring team members - Analytical & problem-solving skills - Communication and presentation skills - Understanding of Data Modeling and Data Architecture **Desired Knowledge/Skills:** - Experience in building stream-processing systems using solutions such as Storm or Spark-Streaming - Experience in Big Data ML toolkits like Mahout, SparkML, or H2O - Knowledge in Python - Certification on AWS Architecture desirable - Worked in Offshore/Onsite Engagements - Experience in AWS services like STEP & Lambda - Project Management skills with consulting experience in Complex Program Delivery **Professional And Educational Background:** BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA **Minimum Years Experience Required:** Candidates with 8-12 years of hands-on experience **Additional Application Instructions:** Add here and change text color to black or remove bullet and section title if not applicable.,
