Responsibilities

<ul>
<li style="margin-left:0px;">Working with business analysts and data analysts to design data models that meet business objectives.</li>
</ul>

<ul>
<li style="margin-left:0px;">Leading a team of data engineers and overseeing data solutions</li>
</ul>

<ul>
<li style="margin-left:0px;">To mentor junior developers</li>
</ul>

<ul>
<li style="margin-left:0px;">Build data engineering capability by providing technical leadership and career development for the community.</li>
</ul>

<ul>
<li style="margin-left:0px;">Behave as a consultant to internal stakeholders and help design a creative solution.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ensuring adequacy, accuracy, and legitimacy of data Implement effective and secure procedures for data processing.</li>
</ul>

What We Need Skills &amp; Qualification

<ul>
<li style="margin-left:0px;">Communicating between the technical and non-technical:</li>
</ul>

<ul>
<li style="margin-left:0px;">Listen to the needs of technical and business stakeholders and interpret them.</li>
</ul>

<ul>
<li>Manage active and reactive communication.</li>
</ul>

<ul>
<li style="margin-left:0px;">Data Development Process: manage resources to ensure that data services work effectively.</li>
</ul>

<ul>
<li style="margin-left:0px;">Data Modeling: understand the concepts and principles of data modelling and can produce relevant data models.</li>
</ul>

<ul>
<li style="margin-left:0px;">Technical skills: Must have strong technical skills in data management.</li>
</ul>

<ul>
<li style="margin-left:0px;">Detail-oriented: Must be detail-oriented and able to identify and correct errors in data</li>
</ul>

<ul>
<li style="margin-left:0px;">Creativity: Must be creative and flexible in their approach to data architecture, as different projects may require different approaches.</li>
</ul>

<ul>
<li style="margin-left:0px;">Problem-solving skills: Must be able to identify and solve complex problems in data architecture and data management.</li>
</ul>

<ul>
<li style="margin-left:0px;">Teamwork: Must be able to work well in a team and collaborate with other stakeholders, such as data analysts, data modelers, developers, and business analysts.</li>
</ul>

Qualification

<ul>
<li style="margin-left:0px;">Bachelors degree in computer science or a related field.</li>
</ul>

<ul>
<li style="margin-left:0px;">Minimum of 8 years of experience in data related projects.</li>
</ul>

<ul>
<li style="margin-left:0px;">Extensive knowledge of SQL and database management systems such as SQL Server.</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent communication and interpersonal skills.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with Project management methodologies: Agile, DevOps.</li>
</ul>

Added Advantage of Having These Qualifications

<ul>
<li style="margin-left:0px;">Having good experience in the Cloud providers Azure.</li>
</ul>

<ul>
<li style="margin-left:0px;">Having experience in Data Engineering technologies like Databricks, ADF, Synapse, Apache Spark, Python etc. </li>
</ul>

Data Engineer in New Delhi (UID-9356)

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Skills Required for Data Engineer

Job Description for Data Engineer

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