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Experience working on Datawarehouse implementations in cloud (Teradata, AWS, Snowflake etc) Hands on experience working on AWS will be a plus. Good to have hands on experience working on other ETL and reporting tools (Datastage, Python, Business Objects, Tableau etc.
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Experience using DevOps, version controlling tools and repositories (Maven, Jenkins, Git, svn, Attunity, Bit bucket, Bamboo Must have hands on experience in CI/CD pipelines, SQL. Experience in integrating Rest API's.
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Hands-on experience with public cloud data warehouse (GCP, Azure, AWS). Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE.
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3+ years deploying public or cloud frameworks; deep understanding of existing cloud technologies (specifically AWS) and experience with integrated public cloud services AWS design patterns for global / multi-region architectures AWS IoT, AWS Data Pipeline, Kinesis streams, Firehose, Lambda, Redshift, S3, RDS, Dynamo DB integration patterns.
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Hands on experience in working with AWS Cloud services like API-Gateway, S3, lambda functions, step functions, Simple Queue Service, Step Functions, CloudWatch, AWS Glue, Amazon Elastic Container Service(ECS) using the libraries like ‘lambda’, ‘aws-sdk’ with NodeJS environment and boto3 with python environment.
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Skills and Responsibilities: •Hands-on years of experience in designing and implementing Data solutions for estate involving tech stack such as AWS native Data Services, Informatica, Snowflake, DBT, Five Tran, etc.
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Ability to design and implement secrets management solutions in cloud environments, including hands-on experience in building out systems utilizing tools such as AWS Secrets Manager or Azure Key Vault.
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Hands-on years of experience in cloud administration, managing and maintaining cloud infrastructure in AWS, Azure, or Google Cloud Platform. Experience with cloud monitoring and management tools, such as AWS CloudWatch, Azure Monitor, or Google Cloud Operations Suite.
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Hands on experience in Hadoop, Spark or AWS Redshift, Athena, Glue or Snowflake Strong SQL and Stored Procedure skills and is comfortable operating with relational and non-relational data models and structure.
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Knowledge on AWS Cloud services like S3, Lambda. Hands on experience in Airflow/ NiFi. Focus on ingesting, storing, processing, and analyzing large datasets. Comfortable working on Linux environment.
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Hands-on experience of AWS Services: S3, Lambda, RDS, EC2. Experience of working on AWS Cloud. Atleast 7+ years of IT experience with proven hands-on Java development experience.
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Good hands on experience on AWS services like : Lambda, Glue, DynamoDB, S3, Athena, Cloudfront, AWS API Gateway, EventBridge, Cloud watch, Cloud Trail, VPC, RDS , Redshift and DynamoDB.
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Strong hands-on experience working with AWS – Lambas, S3, or similar tools; Experience with Spring Boot, Spring Cloud, Spring Security, Spring Batch, Spring Web Services, REST & SOAP API skills.
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Hands on development Design and Develop applications using Python/Pyspark and AWS. Terraform Knowledge/Version changes – Hands on experience is required. At least 5+ Experience on AWS (Glue, S3, lambda at the minimum.
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Good-to-Have Knowledge on Python. Translate complex technical and functional requirements into detailed designs. Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions.
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hands on aws cloud jobs Company: Tata Consultancy Services in United-states, District Of Columbia
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