• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 13th Aug 2022

Strong command of SQL along with experience in using Python or similar languages  for data engineering

Excellent understanding of dimensional data modeling and schema design for Enterprise Data Warehouses and/or Data Lake solutions, including experience in ELT/ETL cycle and in building and maintaining large scale, low latency data-marts

Solid experience in Microsoft Azure tools such as ADLS Gen 2, Azure Databricks, Synapse Analytics, and/or other big data technologies (especially in Azure)

Experience with PowerBI data visualization tools is a plus (PowerBI)

Experience in working with Parquet / JSON  / XML formats and use of APIs to push and pull data from various data sources

Excellent analytical/problem solving skills with a good detail oriented approach

Ability to switch gears quickly and cope with change

Knowledge of Git (Github, Bitbucket, or similar) and DevOps (repos, pipelines, testing) is desired

Experience or exposure to Customer Data Platforms is a big plus

Bonus points if you have experience with Spark, Kafka, AdobeAnalytics, GCS, BigQuery, Tableau, DynamoDB, MongoDB, Redis, Kafka/Kinesis, Node.js, predictive modeling, machine learning, statistical programming (R, SAS), marketing or the travel industry experience

Cruise or hotel/hospitality industry knowledge/experience is a plus, but not necessary

You like to work in a team and enjoy learning about new technologies

Good knowledge and experience in dealing with cloud networking and security is a plus

Bachelor's degree from four-year college or university and four years related experience

Responsibilities:

Play an active role in the design of the client’s Global Data Estate architecture

Develop, customize, deploy and manage our Data Lake House environment

Produce scalable automation scripts to create a configurable framework that help automate data processing

Test and QA of new changes and enhancements developed across the team

Monitor and maintain the overall performance and stability of the data solutions

Solve complex issue and business challenges with minimal supervision

Maintain and evolve data quality and ensure compliance standards (including data privacy) are met within the Data Estate

Assist in creating and designing of reports to be consumed by the rest of the organization

Mentor and train colleagues where necessary assisting them to learn and improve their skills, as well as innovate and share best practices