Sr. Python Data Engineer

Duration : 6 Month

Job Description : The Senior Developer will be part of the Enterprise Risk Business Technology Office. This role will be responsible for supporting our organizations data-driven initiatives, specifically designing and building a data warehouse solution. This position requires strong experience in data analysis, modeling and engineering with the ability to translate complex technical issues into easily understood communications that will influence executive audiences with varied technical backgrounds and capabilities.

Responsibilities : Ability to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and interpersonal skills

Involving migration moving from standard database to Datawarehouse

Day to day responsibilities are working in Strong on python, PySpark, ETL jobs from standard database to Datawarehouse Snowflake is preferred but not mandate

Quick learner of new technologies, tools, concepts and ability to translate them to action.

Excellent problem-solving skills and attention to detail

Effective communication and interpersonal skills

Ability to work independently and in a team environment

Experience : 5 years extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake / Mart / Warehouse, Databases SQL / NoSQL (DB2, Mongo, Postgres), Big Data Technologies (Spark or PySpark), ETL (Informatica, Talend), REST API, Integration / EAI technologies like Informatica

3+ years experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python.

3+ years working with SaaS platforms such as Snowflake, Collibra, Mongo / MongoDB Atlas,

Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies.

Exposure to Full stack enterprise application development (Agular, Spring Boot, Automation testing using Selenium)

5-7 years experience in a logical / physical data modeling, data architecture, data analysis, and data management role

Experience with different query languages such as PL / SQL, T-SQL, and ANSI SQL

Experience with database technologies such as DB2, PostgreSQL, Snowflake

Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts

Skills : Python

PySpark

Informatica

SQL

Education :

Bachelors degree in computer science, information technology or related field; advanced studies / degree preferred.

About US Tech Solutions :

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.