Job Title: AWS Data Engineer

Location: Indore

Job Type: Full-time

Exp: 4-12 Years

Job Overview:
We are looking for a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have strong experience in designing, implementing, and optimizing data pipelines in AWS. You will work closely with data scientists, analysts, and other engineering teams to ensure the seamless flow of data across systems.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines on AWS using services such as AWS Glue, Lambda, S3, Redshift, Athena, etc. Build and manage ETL/ELT processes for large-scale data processing. Implement best practices for data storage, data warehousing, and data transformation. Collaborate with data scientists, analysts, and other stakeholders to define data requirements and solutions. Ensure data quality, consistency, and governance across systems. Monitor and troubleshoot data pipelines, identifying and resolving issues proactively. Implement data security and compliance standards in line with company policies and industry regulations. Perform data migration from on-premise to AWS cloud infrastructure. Automate data ingestion and transformation using AWS tools and services. Stay updated on the latest AWS services and tools relevant to data engineering and recommend improvements.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering with hands-on experience in AWS cloud services. Strong experience with AWS services like S3, Redshift, Glue, Lambda, Athena, EMR, and RDS. Proficiency in SQL and experience with database management systems like Redshift, PostgreSQL, or MySQL. Expertise in ETL/ELT processes and tools (e.g., AWS Glue, Informatica, or Talend). Experience with data warehousing, data lakes, and big data processing technologies. Familiarity with infrastructure-as-code (IaC) tools such as AWS CloudFormation or Terraform. Proficiency in scripting languages like Python, Scala, or Java for data processing. Experience with CI/CD pipelines and version control tools such as Git. Understanding of data governance, security, and compliance in the cloud environment. Strong analytical and problem-solving skills with attention to detail.

Preferred Qualifications:

AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate. Experience with machine learning pipelines and data science tools. Knowledge of data visualization tools like Tableau, QuickSight, or Power BI. Familiarity with Kubernetes or Docker for container orchestration.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Disclaimer: 
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.