AWS Data Engineer

Job Role : Data Engineer

Experience : 8+ 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 DBs (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 Lakehouses 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.