Senior Data Engineer
Responsibilities :
- Skilled and experienced Sr. Data Engineer with proven experience in Spark, Kafka, Hadoop, Data Management.
Skills :
- Proficiency in programming languages Scala, Java, Python.
- Experience with design and development of ELT workflows and data pipelines for high-volume data systems e.g. Datastage, Informatica, Talend, etc.
- Experience in Data Engineering and implementation of Real-time data processing pipelines using Kafka, Kafka Streams and Spark Streams
- Good analytical skills with excellent knowledge of SQL, data management and relational databases like PostgreSQL, Oracle, MySQL.
- Experience working with Big Data Tools/Technologies and DataLakes (Hadoop,Map/Reduce,Spark,Hive)
- Knowledge/Experience working with In-memory/NoSQL databases - Redis, HBase, Cassandra, CouchBase, CouchDB
- Knowledge/experience with Apache Nifi/Airflow for Data Pipelines Orchestrations.
- Proven expertise with linux administration and unix scripting for the automation of tasks, Containerzation[Kubernetes,Docker,Openshift].
- Experience of building CI/CD tools (Jenkins).
- AI and Machine Learning knowledge, Database Administration, Big Data Storage, Data Analytics and Feature Engineering, ELK Stack, FLink
- Familiar with cloud platforms like AWS, Google Cloud, or Microsoft Azur.
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Posted By
Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1526028
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