Indivize Technologies Pvt. Ltd.

Data Engineer (PySpark, SQL, Azure) - 8+ (Remote)
📍 Location:
Remote (India)
💼 Type:
Contract Full-Time (Immediate Joiners or 15 Days Notice Only)
⏳ Experience:
Mid-Level to Senior (8+ Years)
Position Overview
We are seeking a highly skilled Data Engineer to design, build, and optimize next-generation data architecture and pipelines. This role requires expert-level proficiency in PySpark and SQL to build scalable, high-performance ETL/ELT processes that transform raw data into actionable insights.
Key Responsibilities
<ul>
<li>Pipeline Development:
Architect, develop, and maintain robust, fault-tolerant ETL/ELT pipelines for ingesting data from diverse sources.</li>
<li>PySpark Expertise:
Write and optimize complex data transformation jobs using PySpark and the Spark DataFrame API for large-scale data processing.</li>
<li>SQL Mastery:
Utilize Advanced SQL for complex querying, data manipulation, and performance tuning.</li>
<li>Architecture &amp; Automation:
Design optimal data models (Dimensional Modeling, Snowflake Schema) and implement orchestration tools (e.g., Airflow, ADF).</li>
<li>Quality &amp; Collaboration:
Implement data validation routines and collaborate closely with Data Scientists, Analysts, and stakeholders.</li>
</ul>
Required Technical Skills
<ul>
<li>PySpark:
Expert-level, hands-on experience in developing and optimizing large-scale data processing applications.</li>
<li>SQL:
Mastery of Advanced SQL (window functions, complex joins, query performance tuning) across platforms like Snowflake, Redshift, PostgreSQL.</li>
<li>Programming &amp; Big Data:
Strong proficiency in Python/Pandas and solid understanding of distributed systems architecture.</li>
<li>ETL/ELT:
Proven experience in designing and maintaining robust data pipelines.</li>
</ul>
Preferred Qualifications
<ul>
<li>Hands-on experience with major Cloud Platforms (specifically Azure data-related services).</li>
<li>Familiarity with workflow orchestration tools (Apache Airflow) and streaming data (Kafka, Spark Structured Streaming).</li>
</ul>
📩
How to Apply:
Send your resume to <a href="mailto:connect@indivize.com" rel="nofollow noopener" target="_blank">connect@indivize.com</a>.
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Data Engineer (PySpark, SQL, Azure) - 8+ Years (Remote India)

Data Engineer (PySpark, SQL, Azure) - 8+ Years (Remote India)

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