AWS Data Engineer

Job Role: Data Engineer

Experience: 7+ Years

Mode: Hybrid

Key Responsibilities:

• Design and implement enterprise-grade Data Lake solutions using AWS (e.g., S3, Glue, Lake Formation).

• Define data architecture patterns, best practices, and frameworks for handling large-scale data ingestion,

storage, computing and processing.

• Optimize cloud infrastructure for performance, scalability, and cost-effectiveness.

• Develop and maintain ETL pipelines using tools such as AWS Glue or similar platforms. CI/CD Pipelines

managing in DevOps.

• Create and manage robust Data Warehousing solutions using technologies such as Redshift.

• Ensure high data quality and integrity across all pipelines.

• Design and deploy dashboards and visualizations using tools like Tableau, Power BI, or Qlik.

• Collaborate with business stakeholders to define key metrics and deliver actionable insights.

• Implement best practices for data encryption, secure data transfer, and role-based access control.

• Lead audits and compliance certifications to maintain organizational standards.

• Work closely with cross-functional teams, including Data Scientists, Analysts, and DevOps engineers.

• Mentor junior team members and provide technical guidance for complex projects.

• Partner with stakeholders to define and align data strategies that meet business objectives.

Qualifications & Skills:

• Strong experience in building Data Lakes using AWS Cloud Platforms Tech Stack.

• Proficiency with AWS technologies such as S3, EC2, Glue/Lake Formation (or EMR), Quick sight, Redshift,

Athena, Airflow (or) Lambda + Step Functions + Event Bridge, Data and IAM.

• Expertise in AWS tools that includes Data Lake Storage, Compute, Security and Data Governance.

• Advanced skills in ETL processes, SQL (like Cloud SQL, Aurora, Postgres), NoSQL DB’s (like DynamoDB,

MongoDB, Cassandra) and programming languages (e.g., Python, Spark, or Scala). Real-time streaming

applications preferably in Spark, Kafka, or other streaming platforms.

• AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles,

• Encryption, KMS, Secrets Manager.

• Hands-on experience with Data Warehousing solutions and modern architectures like Lakehouse’s or Delta

Lake. Proficiency in visualization tools such as Tableau, Power BI, or Qlik.

• Strong problem-solving skills and ability to debug and optimize application applications for performance.

• Strong understanding of Database/SQL for database operations and data management.

• Familiarity with CI/CD pipelines and version control systems like Git.

• Strong understanding of Agile methodologies and working within scrum teams.

Preferred Qualifications:

• Bachelor of Engineering degree in Computer Science, Information Technology, or a related field.

• AWS Certified Solutions Architect – Associate (required).

• Experience with Agile/Scrum methodologies and design sprints.