Key Responsibilities

<ul>
<li>Review and contribute to use case integration strategies across Data Lake and SharePoint databases.</li>
</ul>

<ul>
<li>Support ModelOps activities including model monitoring, UAT, and implementation.</li>
</ul>

<ul>
<li>Assist in the development and maintenance of Data Quality dashboards.</li>
</ul>

<ul>
<li>Support the design, development, and implementation of GenAI use cases for Data Lake users.</li>
</ul>

<ul>
<li>Act as a GenAI solution SME, supporting setup, enablement, and service delivery.</li>
</ul>

<ul>
<li>Provide automation support across Data Lake operations including: ServiceNow, Analytical Tools like Dataiku, Sagemaker and BAU processes</li>
</ul>

<ul>
<li>Maintain and enhance metadata management frameworks.</li>
</ul>

<ul>
<li>Provide support for AWM Data Lake tools and BYOD (Bring Your Own Data) processes.</li>
</ul>

<ul>
<li>Respond to ad hoc requests and provide hands-on support to Data Lake users.</li>
</ul>

<ul>
<li>Coordinate with domain owners and QA leads to implement consistent testing strategies.</li>
</ul>

<ul>
<li>Identify data quality gaps and collaborate with stakeholders to prioritize and fund remediation plans.</li>
</ul>

<ul>
<li>Partner with the Analytic Tools workstream to onboard new tools and promote training opportunities.</li>
</ul>

Required Qualifications

<ul>
<li>Strong analytical and project management skills; effective cross-level collaboration.</li>
</ul>

<ul>
<li>Bachelor’s degree (B.E./B.Tech.) in engineering, Computer Science, or related field.</li>
</ul>

<ul>
<li>3 to 5 years of experience in data analytics, cloud platforms, or data lake operations.</li>
</ul>

<ul>
<li>Hands-on experience in: SQL, Python, SharePoint development</li>
</ul>

<ul>
<li>Practical experience with AWS cloud services, specifically SageMaker and Athena for SQL-based data operations.</li>
</ul>

<ul>
<li>Familiarity with GenAI, AWS Bedrock and foundational knowledge of Large Language Models (LLMs)</li>
</ul>

<ul>
<li>Proficient in data visualization tools, with a preference for PowerBI.</li>
</ul>

<ul>
<li>Familiarity with analytical tool: Dataiku</li>
</ul>

<ul>
<li>Strong technical, analytical, and quality control capabilities.</li>
</ul>

<ul>
<li>Excellent communication; comfortable engaging with senior US stakeholders.</li>
</ul>

<ul>
<li>Financial domain knowledge and awareness of industry trends.</li>
</ul>

<ul>
<li>Strong understanding of metadata management, data quality, and model governance.</li>
</ul>

<ul>
<li>Exposure to ModelOps and UAT processes.</li>
</ul>

Senior Data Engineer in New Delhi (UID-13134)

Job Description

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Job Description for Senior Data Engineer

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