Snowflake Data Engineer

Are you looking for an opportunity that could potentially catapult your career, helping you advance professionally?

Here at Capgemini Financial Services we believe our success is delivered and sustained through our people and their expertise. We have open position for Snowflake Data Engineer role. Below is the job description for your reference

Position - 1

Title - Snowflake Data Engineer (AWS)

Location - Fort Mills SC (hybrid)

Duration – Fulltime

Required Skills

Snowflake Snowpark The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics

AWS services Airflow The candidate should have hands on experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines.

AWS services Lambda Proficiency in AWS Lambda for serverless computing and event driven architecture is essential for this role.

AWS services Glue The candidate should be well versed in AWS Glue for ETL Extract Transform Load processes and data integration.

Python Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks.

DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus

Responsibilities

Design develop and maintain data pipelines and ETL processes using Snowflake.

AWS services Python and DBT Collaborate with data scientists and analysts to understand data requirements and implement solutions Optimize data workflows for performance scalability and reliability.

Troubleshoot and resolve data related issues in a timely manner.

Stay updated on the latest technologies and best practices in data engineering.

Qualifications

Bachelors degree in Computer Science Engineering or related field.

Proven experience in data engineering roles with a focus on Snowflake AWS services.

Python and DBT Strong analytical and problem solving skills.

Excellent communication and teamwork abilities AWS certifications.

AWS Certified Data Analytics Specialty are a plus.

Position - 2

Title – Snowflake Data Engineer

Location - Fort Mills SC (hybrid)

Duration – Fulltime

Responsibilities

In this role you will lead end to end program delivery of Cloud engagement including but not limited to architecture design development and deployment of AWS KAFKA and NET implementation.

The main technologies used in this position will include python pystark AWS specifically S3 and Athena SQL Server One of the initial tasks will be a DIS Job process developed in pystart to load files into AWS S3

Required Skills

5-7 years of experience in IT software development.

3 years of experience working with Amazon Web Services AWS.

2 years of experience working with Docker Kubernetes preferably on AWS EKS cloud.

1 years of experience working with AWS lambda functions.

3 years of experience working with NET 6 C REST API and Asynchronous Programming.

2 years of experience working to create Net OpenAPI Specification Contract.

1 years of experience working with Kafka Event Streaming and Pub Sub pattern.

1 years of experience working to Create Mule API instance in API Manager.

1 years of experience working to Create Swagger Link.

2 years of experience working to Integrate with SwaggerHub if generic API Experienced in GIT Set up Experienced in Teamcity Octopus set up.

Experienced in Design API Logic Experienced in SonarQube Veracode scan.

Experienced in Data power set up Experienced in Common logging and error handling along with ELK integration.

Experienced in Code Review and Clean Code principles.

Experienced in Performing Dev Integration for the Code.

Experience in Domain Driven Design and event driven architecture patterns.

Excellent knowledge in designing and developing cloud based data ingestion pipelines.

In depth hands on knowledge on working with AWS aurora PostgreSQL database.

Experienced in working with continuous integration deployment tools.

Hands on experience using Git and related workflows.

Excellent analytical and problem solving skills.

Experienced working in an agile scrum environment.

Mandatory Skills

snowflake, snowpark, airflow, lambda, glue, python, DBT, AWS

Note - From the above roles. Please let us know what position do you prefer. Please share us your resume on

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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