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Data Engineer – Tech Lead at Happiest Minds
Bangalore, IN
About Happiest Minds Technologies Limited

Happiest Minds, the Mindful IT Company, applies agile methodologies to enable digital transformation for enterprises and technology providers by delivering seamless customer experience, business efficiency and actionable insights. We leverage a spectrum of disruptive technologies such as: Big Data Analytics, AI & Cognitive Computing, Internet of Things, Cloud, Security, SDN-NFV, RPA, Blockchain, etc. Positioned as “Born Digital . Born Agile”, our capabilities spans across product engineering, digital business solutions, infrastructure management and security services. We deliver these services across industry sectors such as retail, consumer packaged goods, edutech, e-commerce, banking, insurance, hi-tech, engineering R&D, manufacturing, automotive and travel/transportation/hospitality.

Headquartered in Bangalore, India; Happiest Minds has operations in USA, UK, The Netherlands, Australia and Middle East.

Roles and responsibilities

As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW).

In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations.

Note: This is a data engineer from the application side. Must be able to analyze data and develop strategies for populating data lakes.

This is not an infrastructure position.

This person may be called upon to do complex coding using U-SQL, Scala or Python and T-SQL. Responsibilities:

• Work as part of a team to develop Cloud Data and Analytics solutions

• Participate in development of cloud data warehouses, data as a service, business intelligence solutions

• Data wrangling of heterogeneous data

• Ability to provide solutions that are forward-thinking in data and analytics

• Deliver a quality product

• Coding complex U-SQL, Spark (Scala or Python). T-SQL

• Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks)

What We’re Looking For

Azure stack (ADLS, AALS, Azure Data Bricks, Azure Data Factory etc.. Expertise with mandatory expertise on Data Bricks (5-10 yrs)