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Developing and maintaining complex ETL mappings, workflows, and UNIX shell scripts in a Data Warehouse environment, based on technical specifications and other supporting documentation, using Informatica PowerCenter, Unix Shell Scripts, advanced SQL, and Autosys/Tidal Enterprise Scheduler, used for data integration.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell Scripting.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; performing real-time data integration using messaging queue (MQ); and following Agile project management methodologies.
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Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance. Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform.
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Should have strong development experience on Databricks components. Implement Hadoop job orchestration using Shell scripting, and Airflow. Must have work experience on Hadoop as data warehouse/Data Lake implementations.
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In depth knowledge on Hadoop architecture and its components. Should have strong hands-on cloud experience with AWS suite. Strong hands-on experience on Spark is must. Key Technology: DataBricks, AWS, Spark.
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Strong experience on AWS Infrastructure services (EC2, ELB, RDS, Route53, S3, vpc, vpn, tgw, cloud watch, cloudtrail, eventbridge, etc. Hands-on experience in terraform IaC deployments.
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Troubleshooting the Hadoop Yarn jobs is must. Job Location: Morris Plains, NJ (remote to start); Remote, Memphis, TN (preferred), Morris Plains, NJ, Austin, TX (preferred), St. Louis, MO. Drive mentality of building well architected applications for AWS Cloud.
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Hands-on experience with Azure Arm Template(ARM) , PowerShell and Shell /Bash scripting, Terraform, Python, Helm charts. Hands-on experience and Knowledge with Docker and Azure Kubernetes deployments.
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Work with infrastructure, Architecture and software development teams to implement CI/CD automation on-prem and in Azure cloud. Experience building CICD pipelines (Build and deployment of Azure Services and applications based on Nodejs and python.
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Fully proficiency with Python, R, SQL, Linux and shell programming, AWS, Azure and GCP with 3+ years' experience. Focus on the data management and ensure data governance best practices are implemented to manage data domain, data integration, data quality, and data access.
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Hands-on experience with integration tools such as SAP BODS/CPI, MuleSoft, Dell Boomi, Informatica, or similar. Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Functions.
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Minimum 5+ years of hands-on experience supporting Kubernetes /Openshift / AKS /EKS Container platform. Experience with Python, Ansible, Golang, and shell scripting. The team also focuses on digital banking, payments, infrastructure, data management and technology that enhances cyber security, and risk and capital management.
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Expert Craftsman, Hands on Technologist; must be able to code (shell / bash, Java, Angular, Groovy, Python, JavaScript, Typescript), test driven development. The DevSecOps team is a highly engaged team focused on DevOps, Platform Engineering, Automated Testing, Site Reliability Engineering (SRE) and passionate about enabling Cardinal Health’s mission.
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