AWS Data Architect

Job Title - AWS Data Architect

Job Location- Hyderabad

Notice - Immediate - 30days

We are looking for an AWS Architect/Data engineer to add to our cloud practice.

We believe that Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

As an AWS Architect, you are primarily responsible for advising and designing and implementing the right cloud solution for each of the customer requirements and constraints.

Some of your responsibilities would include:

• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake
• Design and build production data pipelines from ingestion to consumption within a big-data architecture, using any programming language like Java, Python, Scala.
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
• Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
• Working closely with team members to drive real-time and batch model implementations for monitoring and alerting of risk systems.
• Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

What we are looking for:

• 8+ year experience of working in AWS components like S3, EC2, Redshift, RDS, EMR, No SQL databases
• Experience building and maintaining cloud-native applications
• Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, or Sonar Qube
• Expertise in data modeling, data warehousing, and building ETL pipelines
• Knowledge of one or more of the most-used programming languages available for todays cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
• Experience in troubleshooting distributed systems
• Proficiency in script development and scripting languages
• Able to recommend process and architecture improvements
• Excellent programming skills with SQL and Python
• The ability and skill to train other people in procedural and technical topics
• Strong communication, Analytical and collaboration skills
• Preferable AWS Professional Data Engineer certification