Data Engineer

Our client is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce. They are the world leader in high-technology heating, air-conditioning and refrigeration solutions. Their experts provide sustainable solutions, integrating energy-efficient products, building controls and energy services for residential, commercial, retail, transport, and food service customers.

From the beginning, they have led in inventing new technologies and entirely new industries. Today, they continue to lead because they keep customers at the centre of every product and service they offer and act quickly to exceed their expectations. Through their performance-driven culture, they are driving share owner value by growing earnings and investing strategically to strengthen the position in the markets they serve.

Responsibilities:

• Construct dataset stored procedures that can help with data mining, modeling, and production.
• Perform ETL from Snowflake Data warehouse and Data Lake by ingesting, transforming, and delivering data for deeper insights.
• Use of Python to code ETL frameworks, API interactions, automation, and data munging tasks such as reshaping, aggregating, joining disparate sources etc.
• Hands-on experience using RDBMS SQL & NoSQL databases like Oracle, SQL Server, Snowflake, MongoDB, DynamoDB etc.
• Build pipelines with AWS Glue jobs, Cloud watch, Amazon Redshift and other stack services.
• Utilize code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and machine learning models and algorithms.
• Create dashboard, Track, and report KPI / performance metrics to upper management.
• Conduct Data quality check by reviewing existing data and reports and performance indicators trends.
• Coordinate with Digital vertical for data pipelines development in data lake platforms for live data streams. 

Requirements:

• Experience :- 7 to 10 years.
• Programming language mandate :- Python , C# and .NET.
• AWS Cloud knowledge is must.
• Should have working experience on ETL Tools.
• Back-end experience :- SQL /MongoDB/DynamoDB.