Data Engineer
2 months ago
Job Description :
- Proven experience in in SQL, Spark, Hadoop ecosystem
- Have worked on multiple TBsof data volume from ingestion to consumption.
- Work with business stakeholders to identify and document high impact business problems and potential solutions.
- Good understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera, hortonworks) and/or AWS.
- Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability.
- Suitable candidate will also be proficient in Spark, Spark Streaming, hive, SQLs.
- Suitable candidate will also demonstrate experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.
- The candidate will additionally demonstrate substantial experience and a deep knowledge of relational databases.
- Good skills in technical debugging of the code in case of issues. Also, working with git for code versioning
- Creating Technical Design Documentation of the projects/pipelines
Secondary Responsibilities:
- Ability to work independently and handle your own development effort.
- Excellent oral and written communication skills Learn and use internally available analytic technologies.
- Identify key performance indicators and create educational/deliverables path to achieve the same.
- Use educational background in data engineering and perform data mining analysis.
- Work with BI analysts/engineers to create prototypes.
- Engage in the delivery and presentation of solutions.
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