Key Responsibilities 
Development 
<ul>
<li> Hands on, sleeves up development and delivery expected as a matter of course. </li>
</ul>
Technical Architecture 
<ul>
<li style="margin-left:1.6rem;"> Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics &amp; Data Architect. </li>
</ul>
Quality, Risk &amp; Compliance: 
<ul>
<li style="margin-left:1.6rem;"> Ensure all risk and issues associated with owned projects are recorded and managed in the appropriate Risk &amp; Issue logs in a timely manner. </li>
</ul>
Ownership 
<ul>
<li style="margin-left:1.6rem;"> Take ownership for the delivery/development projects and help steer until completion </li>
</ul>
Qualifications And Skills 
<ul>
<li style="margin-left:1.6rem;"> 5 to 8 years of experience in Data engineering and coding experience in the languages: PySpark, SQL, Spark etc.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, etc. </li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Seasoned coder and problem solver on big-data processing approaches and “schema-on-read” methodologies. Preference for deep understanding of Spark, Databricks and Delta Lake, and applying them to solve data science and machine learning business problems.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification, and user access provisioning.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, StreamSets, etc.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience articulating business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with preference on experience and proven track record. Ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Ideal candidate possesses great communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels. </li>
</ul>

Data engineer in Hyderabad (UID-7264)

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Job Description for Data engineer

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