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 Technology, or a related field.
Proficiency in SQL and experience with relational databases.
Strong programming skills in Python.
Experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Talend, Informatica).
Knowledge of data warehousing solutions like Snowflake or Redshift.
Good communication and stakeholder management skills
Root cause analysis
Business requirements gathering
Capable of leading cross functional teams in order to deliver projects and initiatives
