Data Engineer

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Basic Qualification
-Associate: Minimum of 6 months of work experience or a Bachelors Degree

Preferred Qualification -Associate: 2 or more years of work experience -Minimum of 1 years experience in building data engineering pipelines. -Design and coding skills with Big Data technologies like Hadoop, Spark, Hive and Map reduce. -Mastery in Pyspark or Scala. -Expertise in any programming like Java or Python. Knowing OOP concepts like inheritance, polymorphism and implementing Design Patterns in programming is needed. -Experience with cloud platforms like AWS, GCP, or Azure is must. -Excellent problem-solving skills and ability to think critically. -Experience with any one ETL tool like Informatica, SSIS, Pentaho or Azure Data Factory is good to have -Knowledge of successful design, and development of data driven real time and batch systems. -Experience in data warehousing and an expert in any one of the RDBMS like SQL Server, Oracle, etc. -Nice to have reporting skills on PowerBI/Tableau/QlikView. -Strong understanding of cloud architecture and service offerings including compute, storage, databases, networking, AI, and ML. -Passionate about delivering zero defect code that meets or exceeds the proposed defect SLA and have high sense of accountability for quality and timelines on deliverables. -Experience developing as part of Agile/Scrum team is preferred and hands on with Jira. -Understanding basic CI/ CD functionality and Git concepts is must.