• 5+ Years of IT experience is preferred – if you feel you have what it takes; we are open even with less experience
• 3+ Years of working as a Data Engineer with thorough understanding of data frameworks that collect, manage, transform and store data that can be derive business insight.
• 3+ years of experience coding in Python, Java, R (or) other object-oriented languages – experience with data engineering libraries(Pandas, NumPy, etc.) is a must
• 3+ years of experience working with SQL and Excel for quantitative data analysis is a must
• 2+ years of experience within the Big Data ecosystem(Hadoop, Sqoop, Hive, Spark, Pig, etc.)
• Experience with GCP Data Services such as BigQuery, Dataflow, Dataproc, etc. is an added advantage and preferred
• Any prior experience in ETL tools such as DataStage, Informatica, DBT, Talend, etc. is an added advantage for the role

Responsibilities of the role will be to work within a team that will,

• Design, create and maintain code and script based data pipelines within a cloud-based data lake
• Design and develop analytical frameworks that transform complex data into business insights
• Build analytical dashboards that provide key metrics and insights for business leader
• Maintain and optimize data pipelines, dashboards and other components to provide optimum performance and experience
• Work closely with Line of Business leaders to identify data challenges and create solutions