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AWS Data Engineer
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Job Description
AWS Data Engineer
Location: Bangalore / Hyderabad
Experience: 6-10 Years
Notice Period: 0-30 Days
Required Skills:
- Snowflake
- AWS Glue
- PySpark
- Python
- SQL
- ETL Development
Role:
- Develop and maintain scalable ETL/data pipelines.
- Build data solutions using AWS Glue, PySpark, and Snowflake.
- Optimize data processing and ensure data quality.
- Collaborate with stakeholders to deliver business-ready data solutions.
More Info
About Company
Skills:
Pyspark, AWS Glue, Sql, Git, Terraform, AWS CloudFormation, Databricks, Python, Aws S3, CodeDeploy, CodeBuild, CodePipeline, Delta Lake
Skills:
Apache Airflow, Data Modeling, Pyspark, Databricks, Sql, AWS, ELT, Etl, CI CD
Skills:
Golang, S3, PostgreSQL, Prometheus, Kafka, Datadog, Ec2, Docker, Sns, Python, Api Gateway, Aws Lambda, RDS, Dynamodb, Rabbitmq, Jenkins, MS SQL, Cloudwatch, ECS, Iam, Sqs, Restful Apis, AWS cloud services, GitLab CI, CI CD tools, Glue
Skills:
Sql, Aws S3, Lambda, Api Gateway, Kafka, Linux, Python, Redshift, Crawler, AWS Cloud platform, Athena, Dynamic DB, Glue
Skills:
snowflake , Java, Hadoop, Cassandra, Scala, HBase, Redshift, Sql, Pig, Hive, Spark, BigData, Databricks, MongoDB, Azure, Spring Framework, Python, AWS, Influx DB, dbt, Map Reduce