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Software Engineer- AWS -Senior Associate

PwC
Bengaluru, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 6 days ago

Full Job Posting

Responsibilities

  • Developing AWS-based data engineering solutions that support modern data platforms and client delivery workstreams
  • Building, testing, and maintaining data pipelines, data integrations, and transformation logic across cloud environments
  • Designing scalable data models and warehouse structures that support analytics, reporting, and downstream applications
  • Using Apache Airflow, Databricks, Snowflake, and AWS services to orchestrate and optimize data processing workflows
  • Troubleshooting performance, data quality, and query issues across databases, pipelines, and data warehouse layers
  • Applying data engineering methods to improve data architecture, validation, security, and access patterns
  • Translating business and technical requirements into deliverables that align with project scope and delivery timelines
  • Reviewing technical work from junior team members and providing guidance on engineering methods and code quality
  • Interpreting feedback from clients and project leads to refine solutions and address changing priorities
  • Contributing to discussions on cloud engineering, data modernization, and product innovation initiatives
  • What You Must Have
  • At least a Bachelor's degree
  • At least 4 years of experience
  • Oral and written proficiency in English required
  • 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
  • Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
  • Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns
  • Should have experience with data security and data access controls and design
  • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
  • Proficient in Lambda and Kappa Architectures
  • Strong AWS hands-on expertise with a programming background preferably Python/Scala
  • Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
  • Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb
  • Good experience with any one of the 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 one of the flow tools like Airflow, Nifi or Luigi
  • Good 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
  • What Sets You Apart
  • Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
  • Demonstrating AWS data engineering workstreams across client engagements
  • Utilizing Apache Airflow, Databricks, or Snowflake in delivery
  • Translating data architecture needs into pipeline design choices
  • Applying analytical thinking to complex data modernization challenges
  • Mentoring junior team members through delivery tasks and feedback

Qualifications

  • Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
  • Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules

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