Senior / Lead AWS Data Engineer
- Source: Naukri
- Sonata Software
- Hybrid
- Bengaluru
- Full-Time
- Senior
Job Description
Looking for a Senior / Lead AWS Data Engineer with 10+ years of experience in data engineering and database development. Expert in architecting scalable, fault-tolerant ETL and ELT pipelines using AWS Glue, PySpark, Databricks, Python, and SQL. Strong background in cloud-native architectures, data migration, Spark performance optimization, and enterprise analytics enablement.
TECHNICAL SKILLS
Data Engineering PySpark, AWS Glue, AWS EMR, Databricks, Apache Iceberg, Athena, Hive, Spark SQL
Streaming & Orchestration Amazon Kinesis, Apigee Api, Apache Airflow, AWS Step Functions, AWS Glue Workflow
Data Warehousing Amazon Redshift, Redshift Spectrum
AWS Cloud S3, EC2, RDS, DynamoDB, ECS Fargate, Lambda, DMS, IAM, VPC, CloudWatch, Cloudalarm, Cloudtrail, SNS, SQS, Secret Manager, Parameter Store, KMS
Programming Python, SQL, PL/SQL
Databases Oracle, PostgreSQL, MongoDB
DevOps & Tools Bitbucket, GitLab, Terraform
Visualization Tableau, Google Data Studio
Skills
- amazon-web-services
- aws-glue
- pyspark
- azure-databricks
- databricks
- Python
- Spark
- amazon-emr
- apache-iceberg
- amazon-athena
- apache-spark-sql
- amazon-kinesis
- apigee
- Airflow
- apache-airflow
- aws-step-functions
- amazon-redshift
- amazon-redshift-spectrum
- amazon-s3
- amazon-ec2
- amazon-rds-for-mysql
- amazon-dynamodb
- amazon-ecs
- aws-fargate
- aws-lambda
- aws-iam
- amazon-vpc
- google-vpc
- amazon-cloudwatch
- amazon-sns
- amazon-sqs
- oracle
- PostgreSQL
- MongoDB
- Bitbucket
- gitlab
- Terraform
- Tableau
- data-studio
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