Data Engineer

Responsibilities:
• Work with product owner and scrum master to understand requirements.
• Work with other technical teams to develop new features.
• Work in Dev-ops model. Position requires writing unit test, automated functional test and integration test.
• Support SL1 and SL2 issues, when other support teams are not able to resolve.
• Help team plan and execute sprint tickets.
• Willingness to travel to global site(US) when required

Requirements:
• Strong demonstrable skills in two of the following programming languages – Python, Java or Scala .
• Minimum 2 years’ experience working on full lifecycle Big Data production projects as a programmer
• Strong Experience in processing Big Data and analyzing the data using Spark, Map Reduce, Hadoop, Sqoop, Apache Airflow, HDFS, Hive, Zookeeper.
• Should have experience with AWS services like EMR, Lambda, S3, DynamoDb
• Should have experience in micro services and no-SQL DB.
• Experienced in unit, functional and automated testing.
• Knowledge of HTTP and JavaScript frameworks.
• Well versed with Agile methodology.
• Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams.
• Comfortable working in a fast-paced, results-oriented environment.