SysMind Tech
Big Data Engineer
SysMind Tech, Austin, Texas, us, 78716
Job Title
Big Data Engineer
Location
Austin,TX
( day1 onsite work, 3 days in office)
Roles & ResponsibilitiesHaving 10 years of professional experience fields of software Analysis, Design, Development, Deployment and Maintenance of software and Big Data applications.Experience in Big data Implementation with strong experience on major components of
Iceberg, Tableau, Kafka, Superset, Druid, Hive metastore, apache, ranger, security, AWSExperience in creating iceberg tables and loading the data from different file formats.Good Experience in Data importing and exporting to Hive and HDFS with Sqoop.Experience in using Producer and Consumer API's of Apache Kafka.Skilled in integrating Kafka with Spark streaming for faster data processing.Experience in using Spark Streaming programming model for Real-time data processing.Experience dealing with the file formats like text files, Sequence files, JSON, Parquet, ORC.Extensively used Apache Kafka to collect the logs and error messages across the cluster.Excellent knowledge and understanding of Distributed Computing and Parallel processing frameworks.Experienced with Analytics with Hive Megastore.Experience with Superset, Druid.Experience working with EC2 (Elastic Compute Cloud) cluster instances, setup data buckets on S3 (Simple Storage Service), setting up EMR (Elastic MapReduce).Good experience working on Tableau and enabled the JDBC/ODBC data connectivity from those to Hive Metastore.Good with version control systems like GIT.Strong knowledge on UNIX/LINUX commands.Adequate Knowledge on Python scripting Language.Adequate knowledge of Scrum, Agile and Waterfall methodologies.Highly motivated and committed to the highest levels of professionalism.Exhibited strong written and oral communication skills. Rapidly learn and adapt quickly to emerging new technologies and paradigms.
Big Data Engineer
Location
Austin,TX
( day1 onsite work, 3 days in office)
Roles & ResponsibilitiesHaving 10 years of professional experience fields of software Analysis, Design, Development, Deployment and Maintenance of software and Big Data applications.Experience in Big data Implementation with strong experience on major components of
Iceberg, Tableau, Kafka, Superset, Druid, Hive metastore, apache, ranger, security, AWSExperience in creating iceberg tables and loading the data from different file formats.Good Experience in Data importing and exporting to Hive and HDFS with Sqoop.Experience in using Producer and Consumer API's of Apache Kafka.Skilled in integrating Kafka with Spark streaming for faster data processing.Experience in using Spark Streaming programming model for Real-time data processing.Experience dealing with the file formats like text files, Sequence files, JSON, Parquet, ORC.Extensively used Apache Kafka to collect the logs and error messages across the cluster.Excellent knowledge and understanding of Distributed Computing and Parallel processing frameworks.Experienced with Analytics with Hive Megastore.Experience with Superset, Druid.Experience working with EC2 (Elastic Compute Cloud) cluster instances, setup data buckets on S3 (Simple Storage Service), setting up EMR (Elastic MapReduce).Good experience working on Tableau and enabled the JDBC/ODBC data connectivity from those to Hive Metastore.Good with version control systems like GIT.Strong knowledge on UNIX/LINUX commands.Adequate Knowledge on Python scripting Language.Adequate knowledge of Scrum, Agile and Waterfall methodologies.Highly motivated and committed to the highest levels of professionalism.Exhibited strong written and oral communication skills. Rapidly learn and adapt quickly to emerging new technologies and paradigms.