Big Data Engineer
Posted Updated 4
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Summary
Builds and maintains big data pipelines, processes large-scale data using Hadoop/Spark, and develops/optimizes ETL workflows with Python/SQL. Supports existing systems and implements new requirements in a remote Agile environment.
This is a remote position.
Role: Big Data Engineer/Developer
Experience: 3-6 Years in Big Data
Immediate Joiners: Preferred
Location: Remote( for now)
Job Description:
- Data Engineer required with experience working in Hadoop in technologies including Hive, Hdfs, Sqoop etc.
- Must have - Python, Pyspark, Spark, AWS/Azure, SQL.
- Candidate will perform the role of senior developer where he needs to support existing applications as well as work on new requirements from a design and implementation perspectives.
- GitLab Hadoop Hive Jenkins MAVEN Nexus
- Scala Shell Scripting YARN Oracle Scrum/Agile Spring.
- Sound communication skills - both written and verbal
- Good to have - Knowledge of Teradata, Airflow, GCP