Responsibilities:

<ul>
<li style="margin-left:0px;">Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka.</li>
</ul>

<ul>
<li style="margin-left:0px;">Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity.</li>
</ul>

<ul>
<li style="margin-left:0px;">Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows.</li>
</ul>

<ul>
<li style="margin-left:0px;">Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency.</li>
</ul>

<ul>
<li style="margin-left:0px;">Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability.</li>
</ul>

<ul>
<li style="margin-left:0px;">Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions.</li>
</ul>

Qualifications:

<ul>
<li style="margin-left:0px;">Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.</li>
</ul>

<ul>
<li style="margin-left:0px;">5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis.</li>
</ul>

<ul>
<li style="margin-left:0px;">Extensive experience building and maintaining RESTful APIs and working with microservices architectures.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka.</li>
</ul>

<ul>
<li style="margin-left:0px;">Solid understanding and practical application of statistical analysis methods for business decision-making.</li>
</ul>

<ul>
<li style="margin-left:0px;">Hands-on experience with PySpark for large-scale distributed data processing.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong SQL skills for querying, manipulating, and optimizing relational database operations.</li>
</ul>

<ul>
<li style="margin-left:0px;">Deep understanding of data cleaning, preprocessing, and validation techniques.</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong analytical, debugging, problem-solving, and communication skills.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ability to work both independently and collaboratively within a team environment.</li>
</ul>

Preferred Skills: 
<ul>
<li style="text-align:start;">Experience with CI/CD tools and Git-based version control.</li>
</ul>

Senior Python Developer in Mumbai (UID-11489)

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Job Description for Senior Python Developer

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