Associate Big Data Engineer
Metlife
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Job Description
Responsibilities
- Contribute towards supporting the build/implementation of data ingestion and curation processes developed using Big data tools such as Spark (Scala/python), Hive, HDFS, Kafka, Pig, Spark, HDFS, Oozie, Sqoop, Flume, Zookeeper, Kerberos, Sentry, Impala, CDP 7.x etc. under the guidance of Big Data Engineers.
- Support the ingestion of huge data volumes from various platforms for Analytics needs and prepare high-performance, reliable, and maintainable ETL code with support/review guidance of senior team members.
- Provide relevant support in monitoring performance and advising any necessary infrastructure changes to senior team members for their review inputs.
- Understand the defined data security principals and policies developed using Ranger and Kerberos.
- Gain broader understanding on how to support application developers and progressively work on efficient big data application development using cutting edge technologies.
- Collaborate with Business systems analyst, technical leads, Project managers and business/operations teams in building data enablement solutions across different LOBs and use cases basis
- Understand & support the creation of reusable frameworks which will optimize the development effort involved.
- Contribute towards supporting the build/implementation of data ingestion and curation processes developed using Big data tools such as Spark (Scala/python), Hive, HDFS, Kafka, Pig, Spark, HDFS, Oozie, Sqoop, Flume, Zookeeper, Kerberos, Sentry, Impala, CDP 7.x etc. under the guidance of Big Data Engineers.
- Support the ingestion of huge data volumes from various platforms for Analytics needs and prepare high-performance, reliable, and maintainable ETL code with support/review guidance of senior team members.
- Provide relevant support in monitoring performance and advising any necessary infrastructure changes to senior team members for their review inputs.
- Understand the defined data security principals and policies developed using Ranger and Kerberos.
- Gain broader understanding on how to support application developers and progressively work on efficient big data application development using cutting edge technologies.
- Collaborate with Business systems analyst, technical leads, Project managers and business/operations teams in building data enablement solutions across different LOBs and use cases basis
- Understand & support the creation of reusable frameworks which will optimize the development effort involved.
About The Company
Metlife
With over 145 years of experience, the MetLife companies are a leading innovator and a recognized leader in protection planning and retirement and savings solutions around the world. We have established a strong presence in nearly 50 countries through organic growth, acquisitions, joint ventures and other partnerships. We are strengthening our global brand by extending core products and competencies to markets around the world – an important driver of growth for the enterprise. Around the world, the MetLife companies offer life, accident and health insurance, retirement and savings products through agents, third-party distributors such as banks and brokers, and direct marketing channels. We work with families, corporations and governments to provide them with solutions that offer financial guarantees in their lives. Our name is recognized and trusted by approximately 100 million customers worldwide and we serve more than 90 of the top 100 FORTUNE 500® companies in the United States. We have the experience, global resources and vision to provide financial certainties for an uncertain world
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