Cloud / IT Analyst

Job Description

As an AWS Consultant/Data Engineer at our Digital Technology BPM company specializing in Consumer Engagement Services, your role is crucial in enabling data-driven decision making by collecting, transforming, and publishing data. Your primary responsibility includes designing, building, operationalizing, securing, and monitoring data processing systems with a focus on security and compliance. You will also work on leveraging, deploying, and continuously training pre-existing machine learning models.Key Responsibilities:- Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services like Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, and Snowflake in combination with 3rd parties.- Develop production data pipelines from ingestion to consumption within a big-data architecture, utilizing programming languages such as Java, Python, or Scala.- Implement data engineering, ingestion, and curation functions on AWS cloud using native or custom programming.- Conduct detailed assessments of current state data platforms and establish a transition path to AWS cloud.- Support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.- Collaborate with other tech teams to extract, transform, and load data from various sources using SQL and AWS big data technologies.- Create and maintain real-time data pipelines using AWS technologies like Glue, Redshift/Spectrum, Kinesis, EMR, and Athena.- Drive real-time and batch model implementations for monitoring and alerting risk systems.- Implement advanced analytics algorithms for statistical analysis, prediction, clustering, and machine learning using rich datasets.- Continually improve reporting and analysis processes, automating or simplifying self-service support for customers.Qualifications Required:- Bachelors degree in a relevant field.- 5 years of experience working with AWS components such as S3, EC2, Redshift, RDS, EMR, and NoSQL databases.- Experience in building and maintaining cloud-native applications.- Proficiency in DevOps tools in a cloud environment like Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, or SonarQube.- Expertise in data modeling, data warehousing, and building ETL pipelines.- Knowledge of programming languages for cloud computing, such as SQL, XML, R, Clojure, Haskell, Python, and Go.- Experience in troubleshooting distributed systems.- Working experience in Zoho CRM APIs integration with AWS Glue.- Proficiency in script development and scripting languages, particularly SQL and Python.- Preferable to have AWS Professional Data Engineer certification.- Nice to have skills include SAP data background, Gen AI skills, and AI/LLMs on datalake skills.Join us in our mission to make our clients more competitive through exceptional experiences and be a part of a global team spread across 9 countries to build a brighter future. As an AWS Consultant/Data Engineer at our Digital Technology BPM company specializing in Consumer Engagement Services, your role is crucial in enabling data-driven decision making by collecting, transforming, and publishing data. Your primary responsibility includes designing, building, operationalizing, securing, and monitoring data processing systems with a focus on security and compliance. You will also work on leveraging, deploying, and continuously training pre-existing machine learning models.Key Responsibilities:- Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services like Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, and Snowflake in combination with 3rd parties.- Develop production data pipelines from ingestion to consumption within a big-data architecture, utilizing programming languages such as Java, Python, or Scala.- Implement data engineering, ingestion, and curation functions on AWS cloud using native or custom programming.- Conduct detailed assessments of current state data platforms and establish a transition path to AWS cloud.- Support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.- Collaborate with other tech teams to extract, transform, and load data from various sources using SQL and AWS big data technologies.- Create and maintain real-time data pipelines using AWS technologies like Glue, Redshift/Spectrum, Kinesis, EMR, and Athena.- Drive real-time and batch model implementations for monitoring and alerting risk systems.- Implement advanced analytics algorithms for statistical analysis, prediction, clustering, and machine learning using rich datasets.- Continually improve reporting and analysis processes, automating or simplifying self-service support for customers.Qualifications Required:- Bachelors degree in a relevant field.- 5 years of experience working with AWS components such as S3, EC2, Redshift, RDS, EMR,

Keyskills :
data modelingdata warehousingprogramming languagesSQLPythonAWS componentsDevOps toolsETL pipelinestroubleshooting distributed systemsZoho CRM APIs integration