This position requires any amount of experience with the following: Designing and developing ETL functionalities using technologies including Java, Python, Scala, and Spark; Working with automation & workflow orchestration tools including Autosys and Airflow; Integrating complex distributed applications using messaging technologies such as Kafka, MQ, or TIBCO and file movements via FTP or S3; Creating and consuming data in different formats including Avro, JSON, XML, CSV, and Parquet; Utilizing SQL features for extracting large scale data with efficiency and high performance; Creating data models, data structures, and data designs for effective storage and retrieval of largescale data on to database platforms RDMS such as Oracle or Postgres, and NoSQL columnar databases such as HBase or DynamoDB; Developing software on a Microservices environment that deploys as a REST API; Building software using CI/CD tools including Bitbucket, Git, Jenkins, Maven, and Gradle and deploying on a Virtual server and the AWS cloud platform; Following Agile methodologies and Scrum; Working on all phases of SDLC including requirements analysis, design and development, unit testing, integration testing, deploying applications to production, and supporting applications postproduction; Providing quick diagnosis to application problems leveraging log analytics tools including Splunk and application performance monitoring tools such as Dynatrace; Working on UI technologies to create rich, intuitive, and responsive screens; Developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation, and ODBC connectors; Building and deploying applications on AWS Cloud, virtual servers, and Linux or Unix operating systems; Creating automation solutions utilizing scripting and programming using shell scripting, Python, and Perl; Communicating designs and solutions with global teams and influencing them to achieve business results. Skills Required: This position requires three (3) years of experience with the following: Building scalable and high-performance data lakes, data warehouses, or big data solutions leveraging cloud platforms; Designing and developing high throughput applications using Java, Spring Boot, and multithreading for large scale data processing.