Experience:

<ul>
<li style="margin-left:0px;">10+ years of experience in data engineering or data management, with at least 5 years of hands-on experience working with Azure data technologies.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proven experience in leading and managing data engineering teams and large-scale data initiatives on Azure.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong expertise in Azure data services including Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Power BI.</li>
</ul>

Technical Skills:

<ul>
<li style="margin-left:0px;">Expertise in designing and building scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and other Azure-based tools.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in SQL, T-SQL, and other scripting languages such as Python or Scala for data engineering tasks.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with cloud-based data warehousing solutions, particularly Azure Synapse Analytics.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of big data frameworks (e.g., Hadoop, Spark) and their implementation on Azure.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with data modeling, performance tuning, and optimization techniques for both structured and unstructured data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of data security practices and ensuring compliance with data privacy regulations in the cloud.</li>
</ul>

Cloud &amp; Infrastructure:

<ul>
<li style="margin-left:0px;">Deep experience with Microsoft Azure cloud architecture and services.</li>
</ul>

<ul>
<li style="margin-left:0px;">Hands-on experience with Azure DevOps for CI/CD, version control, and pipeline automation.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with containerization and orchestration tools like Docker and Kubernetes in a cloud environment is a plus.</li>
</ul>

Soft Skills:

<ul>
<li style="margin-left:0px;">Strong leadership skills with the ability to manage teams, mentor junior engineers, and influence cross-functional stakeholders.</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent communication skills to present technical concepts to non-technical stakeholders.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strategic thinking with the ability to balance long-term goals with short-term needs and deliverables.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong problem-solving skills with a proactive, solution-oriented mindset.</li>
</ul>

Roles and Responsibilities

Experience:

<ul>
<li style="margin-left:0px;">10+ years of experience in data engineering or data management, with at least 5 years of hands-on experience working with Azure data technologies.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proven experience in leading and managing data engineering teams and large-scale data initiatives on Azure.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong expertise in Azure data services including Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Power BI.</li>
</ul>

Technical Skills:

<ul>
<li style="margin-left:0px;">Expertise in designing and building scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and other Azure-based tools.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in SQL, T-SQL, and other scripting languages such as Python or Scala for data engineering tasks.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with cloud-based data warehousing solutions, particularly Azure Synapse Analytics.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of big data frameworks (e.g., Hadoop, Spark) and their implementation on Azure.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with data modeling, performance tuning, and optimization techniques for both structured and unstructured data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of data security practices and ensuring compliance with data privacy regulations in the cloud.</li>
</ul>

Cloud &amp; Infrastructure:

<ul>
<li style="margin-left:0px;">Deep experience with Microsoft Azure cloud architecture and services.</li>
</ul>

<ul>
<li style="margin-left:0px;">Hands-on experience with Azure DevOps for CI/CD, version control, and pipeline automation.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with containerization and orchestration tools like Docker and Kubernetes in a cloud environment is a plus.</li>
</ul>

Soft Skills:

<ul>
<li style="margin-left:0px;">Strong leadership skills with the ability to manage teams, mentor junior engineers, and influence cross-functional stakeholders.</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent communication skills to present technical concepts to non-technical stakeholders.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strategic thinking with the ability to balance long-term goals with short-term needs and deliverables.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong problem-solving skills with a proactive, solution-oriented mindset.</li>
</ul>

Data Engineer

Job Details & Overview

Skills Required for Data Engineer

Job Description for Data Engineer