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Sr. Data Engineer – Big Data
Key Skills
- Big Data Technologies
- Hadoop, HDFS, Hive
- Spark / Spark SQL
- SQL
- Real-Time and Batch Data Processing
Required Skills and Experience
- Extensive experience with Apache Kafka, Apache Flink, and other streaming technologies.
- Strong expertise in Hadoop ecosystem tools such as Hive, Iceberg, and Spark SQL.
- Good understanding of Apache Airflow for orchestrating complex data workflows and pipelines.
- Proven experience designing and implementing automated data pipelines and materialized views.
- Proficiency in Python, Unix/Linux, or similar technologies.
- Strong SQL skills, including experience with Oracle, SQL Server, or similar databases.
- Experience with graph databases such as Neo4j or JanusGraph and graph query languages.
- Experience with monitoring and CI/CD tools such as Prometheus, Grafana, Jenkins, and GitHub Actions.
- Strong engineering fundamentals, including data structures, algorithms, testing (JUnit/pytest), Git, and clean coding practices.
- Experience with cloud-native technologies, including Docker and Kubernetes (deployment, networking, scaling, and troubleshooting).
- 6+ years of relevant professional experience.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Key Requirements & Skills
- 6-8 years of relevant professional experience (6+ years required)
- Big Data Technologies: Hadoop, HDFS, Hive, Spark / Spark SQL
- Real-Time and Batch Data Processing
- Extensive experience with Apache Kafka, Apache Flink, and other streaming technologies
- Strong expertise in Hadoop ecosystem tools such as Hive, Iceberg, and Spark SQL
- Good understanding of Apache Airflow for orchestrating complex data workflows and pipelines
- Proven experience designing and implementing automated data pipelines and materialized views
- Proficiency in Python, Unix/Linux, or similar technologies
- Strong SQL skills, including experience with Oracle, SQL Server, or similar databases
- Experience with graph databases such as Neo4j or JanusGraph and graph query languages
- Experience with monitoring and CI/CD tools such as Prometheus, Grafana, Jenkins, and GitHub Actions
- Strong engineering fundamentals: data structures, algorithms, testing (JUnit/pytest), Git, and clean coding practices
- Experience with cloud-native technologies, including Docker and Kubernetes (deployment, networking, scaling, troubleshooting)
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Frequently Asked Questions
How to apply for Sr. Data Engineer at AMISEQ?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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