For companies:
For professionals:
For everyone:
Responsibilities
What You Will DoParticipate in architecture design and implementation of high-performance, scalable, and optimized data solutions.Good SQL understanding with ability to create the data model from scratch.Help write and optimize in-application SQL statements.Ensure performance, security, and availability of databases.Prepare documentations and specifications.Handle common database procedures such as upgrade, backup, recovery, migration, etc.Design, build and automate the deployment of data pipelines and applications to support data scientists and researchers with their reporting and data requirements.Integrate data from a wide variety of sources, including on premise databases and external data sources with REST APIs and harvesting tools.Collaborate with internal business units and data science teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.Effectively support and partner with businesses on implementation, technical issues, and training on the data lake ecosystem.Work with team on managing AWS resources (EMR, ECS clusters, etc.) and continuously improve deployment process of our applications.Work with administrative resources and support provisioning, monitoring, configuration, and maintenance of AWS tools.Promote the integration of new cloud technologies and continuously evaluate new tools that will improve the organization’s capabilities while leading to lower total cost of operation.Support automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.What You Will Need6-9 years of experience in Solution, Design and Development of Cloud based data models, ETL Pipelines and infrastructure for reporting, analytics, and data science.Experience working with both structured and unstructured data.Strong proficiency with SQL and its variation among popular databases. Experience with some of the modern relational databases.Knowledge of best practices when dealing with relational databases.Capable of configuring popular database engines and orchestrating clusters as necessary.Ability to plan resource requirements from high level specifications.Capable of troubleshooting common database issues.Experience working with Spark, Glue, EMR, Apache Kafka/AWS Kinesis.Experience with version control tools (Git, Subversion).Experience using automated build systems (CI/CD).Interested candidates can send their CVs to: naincy.goel@kulsys.com career@kulsys.com
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS