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Job Description
- Participate in the design and implementation phases for data projects to help translate high-level business requirements into technical solutions.
- Provide technically sound solutions for the ingestion, storage, transformation, and presentation of enterprise data, including ETL design, data storage strategies, data access, and security.
- Driving the design of scalable solutions while considering recoverable and resiliency requirements.
- Participate in DevOps-related activities, including involvement with continuous integration, automated deployment, automated testing, and continuous monitoring to enhance performance and product quality.
- Provide timely support for troubleshooting and resolving production issues.
- Experience with any of the following: Big Data technologies, Analytics, Hadoop ecosystems, Data Lakes, or Data Migration.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with Java, Scala, and Spark.
- Strong database integration and management skills.
- Strong ETL skills, including database performance tuning and optimisation.
- Familiar with Shell scripting skills and Unix/Linux knowledge.
- Exceptional analytical and problem-solving skills.
- Running diagnostic tests and performing debugging procedures.
- Documenting application development processes, procedures, and standards.
- Excellent leadership and interpersonal skills.
- Strong communication and teamwork skills.
- Able to analyse complex situations and derive workable actions.
- Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
- Knowledge of DevOps and related tooling such as Jenkins, Ansible, etc.
- Experience with Big Data technologies such as Apache Hadoop, HBase, Hive, Spark, Flink, or Flume.
- Strong coding skills in one of Python/Java/Scala.
- Familiar with event management technologies such as Apache Kafka or Apache Airflow.
- Familiar with container technologies such as Docker or Kubernetes.
- Demonstrable experience coaching junior members of your teams.
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Skills
Big DataPythonData MigrationEtlImplementationAnalyticsGoogle CloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
14 Mar 26, 02:32 PM IST
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