Being able to understand and develop ANSI SQL queries;
Being aware of handling other semi-structured data formats – JSON, XMLs, HTMLs etc;
Being comfortable in querying tools for distributed systems such as Hive, Impala and other SQL clients (RDBMS, Python, Scala etc.);
Being comfortable in handling transforming data to suite business needs;
Being able to handle tools for data transformation and/or ETL through tool-based and code-based development – ex. Informatica or Talend for tool based / Spark or MapReduce framework in Python or Scala/Java for code-based development;
Having a background on data warehousing and reporting technologies
Requirements
Qualifications:
5+ years of experience in data engineering or a similar role.
Bachelor's degree in computer science, Information Technolo...