AWS+Snowflake+ DBT+ GCP- Senior Associate

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwCs leading class global delivery capabilities. We provide premium cost effective high quality services that support process quality and delivery capability in support for client engagements.

At PwC - AC as an AWS Senior Developer the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake Data hub in AWS. The candidate should have strong experience in AWS cloud technology. Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.

Years of Experience: Candidates with 4-8 years of hands-on experience

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 SnowPipeETL 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)

Good to have 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

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

Strong understanding of Cloud data migration processes methods and project lifecycle

Good analytical & problem-solving skills

Good communication and presentation skills

Desired Knowledge / Skills:

Experience in building stream-processing systems using solutions such as Storm or Spark-Streaming

Experience in Big Data ML toolkits such as Mahout SparkML or H2O

Knowledge in Python

Worked in Offshore / Onsite Engagements

Experience in one of the flow tools like Airflow Nifi or Luigi

Experience in AWS services like STEP & Lambda

Professional and Educational Background:

BE / / MCA / / M.E / / MBA

Good analytical & problem-solving skills

Good communication and presentation skills

Travel Requirements

Not Specified

Job Posting End Date

Required Experience:

Senior IC

Industry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob Description & SummaryA career in our Advisory Acceleration Centre is the natural extension of PwCs leading class global delivery capabilities. We provide premium cost effective high quality services that su...