BigData Developers

• Working experience and communicating with business stakeholders and architects
• Industry experience in developing relevant big data/ETL data warehouse experience building cloud native data pipelines
• Experience in Python, Pyspark, Scala, Java and SQL Strong Object and Functional programming experience in Python
• Experience worked with REST and SOAP based APIs to extract data for data pipelines
• Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, Sqoop, etc.
• Experience working in a public cloud environment, particularly AWS is mandatory
• Ability to implement solutions with AWS Virtual Private Cloud, EC2, AWS Data Pipeline, AWS Cloud Formation, Auto Scaling, AWS Simple Storage Service, EMR and other AWS products, HIVE, Athena
• Experience in working with Real time data streams and Kafka Platform.
• Working knowledge with workflow orchestration tools like Apache Airflow design and deploy dags.
• Hands on experience with performance and scalability tuning
• Professional experience in Agile/Scrum application development using JIRA

Nice to Have

• Teradata and Snowflake experience.
• Professional experience with source control, merging strategies and coding standards, specifically Bitbucket/Git and deployment through Jenkins pipelines.
• Demonstrated experience developing in a continuous integration/continuous delivery (CI/CD) environment using tools like Jenkins, circleci Frameworks.
• Demonstrated ability to maintain the build and deployment process through the use of build integration tools
• Experience designing instrumentation into code and using and integrating with software and logging analysis tools like log4Python, New Relic,Signal FX and/or Splunk