Fivetran Data Engineer (Pune)

Fivetran Data Engineer (Pune)

09 Aug
|
Weekday AI
|
Pune

09 Aug

Weekday AI

Pune

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Experience: 2+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are seeking a skilled Fivetran Data Engineer to design, build, and maintain scalable data integration pipelines that support enterprise analytics and business intelligence initiatives. This role is ideal for professionals with hands-on experience in Fivetran, SQL, and PySpark, who are passionate about developing reliable data solutions that transform raw data into actionable insights.
As a Fivetran Data Engineer, you will be responsible for developing automated data ingestion workflows, optimizing ETL/ELT pipelines, and ensuring the quality, accuracy, and availability of enterprise data. You will collaborate closely with data analysts, business stakeholders, architects, and engineering teams to build efficient data platforms that enable reporting, analytics, and data-driven decision-making. This role offers the opportunity to work with modern cloud-based data technologies in a collaborative,



rapid-paced environment focused on continuous improvement and innovation.
Key Responsibilities
Design, develop, and maintain scalable data ingestion and integration pipelines using Fivetran.
Build and optimize ETL/ELT workflows to extract, transform, and load data from multiple source systems into enterprise data platforms.
Develop high-performance data transformation logic using SQL and PySpark to support reporting, analytics, and downstream applications.
Monitor, troubleshoot, and optimize data pipelines to ensure reliability, scalability, and data accuracy.
Perform data validation, reconciliation, and quality checks to maintain the integrity of enterprise datasets.
Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions.
Optimize SQL queries and PySpark jobs for improved performance, resource utilization, and processing efficiency.
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📌 Fivetran Data Engineer (Pune)
🏢 Weekday AI
📍 Pune

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