AWS Data Engineer

Description

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.

*You must be legally authorized to work in the United States without the need of employer sponsorship, now or at any time in the future *

Job Title: AWS Data Engineer

Job Summary

- We are seeking a talented and analytical-minded individual to join our team as an Analytics Engineer.

- As an integral part of our data-driven organization, the ideal candidate will leverage their expertise in Python, Databricks, and AWS to develop and optimize data pipelines, conduct complex analyses, and contribute to the overall success of our analytics initiatives.

Experience 11-13 yrs

Required Skills

Technical Skills: Python and Databricks.

Technical Skills: AWS.

Roles/Responsibilities

- Design, build, and maintain scalable and efficient data pipelines using Python, Databricks, and other relevant tools.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions.

- Develop and implement data pipelines to support data-driven decision-making processes.

- Troubleshoot and resolve performance issues, working to continually improve system reliability.

- Utilize your expertise in AWS to manage and optimize databases, ensuring data integrity, security, and performance.

- Work with various data storage solutions, such as Amazon Redshift, Athena, or similar technologies.

- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.

- Document data engineering processes, ensuring that the team's work is well-documented and accessible.

Preferred Qualifications:

- Strong proficiency in Python for data manipulation and analysis.

- Experience with Databricks for data engineering and analytics.

- Experience with version control systems (e.g., Git).

- Knowledge of integration development.

- Strong analytical and problem-solving skills.

- Experience with additional cloud platforms, preferably AWS.

- Knowledge of big data technologies such as Apache Spark.

- Familiarity with data visualization tools (e.g., Tableau, Power BI).

. Job Location

Primary : Atlanta - GA USA

Salary and Other Compensation :

The annual salary for this position is between $99,000 - $140,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

#LI-GH1 #CB #Ind123

Qualifications

Technical Skills

SNo

Primary Skill

Proficiency Level *

Rqrd./Dsrd.

1

Databricks

PL4

Required

2

Python

PL4

Desired

* Proficiency Legends

Proficiency Level

Generic Reference

PL1

The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.

PL2

The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.

PL3

The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.

PL4

The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.