What will you do:

• Collaborate with project stakeholders (client) to identify product and technical requirements. Conduct analysis to determine integration needs.
• Ensuring that developer responsibilities are being met by mentoring, reviewing code and test plans, verifying that design best practices as well as coding and architectural guidelines, standards, and frameworks are adhered to by offering guidance, communicating risk, and addressing roadblocks as they arise.
• Do regular research on the new trends, best practices, new methodologies and frameworks coming in the sector
• Identify gaps in current setup’s against the above and drive the implementation of these best practices & methods
• Involve in the regular R&D on these approaches and develop components/modules which can be integrated with client’s ecosystem.
• Use different data warehousing concepts to build a data warehouse for reporting purpose.
• Build data pipelines to ingest and transform the data into our Data platform
• Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies
• Develop, implement, and tune large-scale distributed systems and pipelines that process large volume of data
• Assist Data Science / Modeling teams in setting up data pipelines.
• Develop and test ETL components to high standards of data quality and act as hands-on development lead.
• Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.

What makes you great fit:

• 5/6+ years of experience in Data Engineering, Architecture & Solutioning areas in large-scale distributed systems
• 3+ years of experience across Cloud Platforms, AWS preferred.
• 2+ years of experience in creating solutions for clients/products
• Hands on coding experience in Oracle / Teradata / SQL Server platform.
• Hands on coding experience in Spark Framework, Hadoop ecosystem.
• Hands on experience on building data pipelines in Bigdata platforms.
• Good exposure to DataOps/DevOps /CI-CD methodlogies
• Strong verbal and business communication skills.
• Strong business acumen & demonstrated aptitude for analytics that incite action.

Hiring for "EXL"

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.