AWS - Data Engineer

Role: AWS Data Engineer

Experience: 7-13 years

Location - HYD(HYBRID)

Skills: AWS(Mandatory), ETL, S3, Data Lake

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.