Product Quality Engineer Completion and Wellbore Intervention

• Experienced in exploring, debugging and data quality issues and defining data quality rules across complex data pipelines

• Experience working with any one programming language (Spark/Scala, Python/Panda/PySpark)

• Good knowledge of SQL and write complex queries

• Exposure to working on data pipelines with scalable ETL jobs across from ingestion to data lake, data warehousing and data marts

• Build strong relationships and liaise with multiple scrum teams


Good to have:

• Understanding of distributed systems

• Experience on Hadoop (HDFS, Hive, HBase)

• Experience on Azure (ADF, ADLS, Databricks)

• Exposure to Snowflake