AWS - Data Engineer
4 weeks ago
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.
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