Data Consultant-AWS

at  Cognizant

JOB DESCRIPTION

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world’s leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

POSITION SUMMARY:

• As a Data Consultant, you will guide the shaping and delivery of major projects for clients. You will work with our clients directly, Cognizant’s client account leaders and consulting specialists to provide thought leadership and industry perspective on the challenges that our clients need solving.
• The life of a consultant involves exciting, fast-paced work, dealing with a variety of stakeholders, clients and consultants. You need to be someone that can deal with ambiguity, thrive on change, and manage your own time effectively. We want someone that genuinely focuses on client outcomes, with a high degree of integrity.
• You will need to be confident when presenting to both business and technology stakeholders, being part of cross-functional geographically dispersed teams, and have strong negotiation skills for outcomes. Above all, you should have a positive attitude, and enjoy working with consultants from a diverse range of backgrounds, on a variety of fast-paced engagements.

MANDATORY SKILLS:

To apply for this Data Consultant role, your soft skills, expertise and experience should include:

• Experience as a data engineer, delivering high quality, measurable results for clients in a technical consulting capacity.
• Proficiency in DBT for data transformation and modelling.
• Extensive experience with Snowflake as a data warehousing solution.
• Strong knowledge of AWS services, including but not limited to S3, Redshift, Lambda, and EC2.
• Advanced Python programming skills.
• Experience with data modelling techniques and best practices.
• Hands-on experience with Astronomer / Airflow for workflow orchestration.
• Excellent communication and collaboration skills.
• Experience with other data tools and frameworks.
• Knowledge of SQL and other database technologies.
• Understanding of CI/CD pipelines and DevOps practices in data engineering.

Required Certifications:

• dbt Developer
• Astronomer Certification for Apache Airflow Fundamentals
• Azure Database Administrator Associate
• Azure Data Engineer Associate
• Databricks Data Engineer Associate
• Neo4J Professional

Salary Range: >$100,000

• Experience as a data engineer, delivering high quality, measurable results for clients in a technical consulting capacity.
• Proficiency in DBT for data transformation and modelling.
• Extensive experience with Snowflake as a data warehousing solution.
• Strong knowledge of AWS services, including but not limited to S3, Redshift, Lambda, and EC2.
• Advanced Python programming skills.
• Experience with data modelling techniques and best practices.
• Hands-on experience with Astronomer / Airflow for workflow orchestration.
• Excellent communication and collaboration skills.
• Experience with other data tools and frameworks.
• Knowledge of SQL and other database technologies.
• Understanding of CI/CD pipelines and DevOps practices in data engineering