Job Description

Job Title: Fivetran Data Engineer

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Experience-2 to 4 Years

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Location:Remote

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Job Summary

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We are looking for a skilled Fivetran Data Engineer to design, develop, and manage cloud-based data integration pipelines using Fivetran . The ideal candidate should have experience building scalable ELT pipelines, integrating data from multiple sources into cloud data warehouses, and supporting up-to-date data platforms. The role requires collaboration with Data Engineers, Analytics teams, and Business stakeholders to deliver reliable, high-quality data for reporting and analytics.

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Key Responsibilities

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Design, implement, and maintain ELT data pipelines using Fivetran.
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Configure and manage Fivetran connectors to ingest data from SaaS applications, databases, APIs, and file systems.
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Integrate data into cloud data warehouses such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.
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Develop SQL-based data transformation pipelines using dbt or similar transformation frameworks.
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Monitor data pipelines, troubleshoot failures, and optimize data loads for performance and reliability.
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Ensure data quality, validation, governance, and security across the data platform.
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Work closely with business users, data analysts, and data scientists to understand data requirements.
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Automate pipeline deployment and monitoring using CI/CD best practices.
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Create and maintain technical documentation and data flow diagrams.
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Support production issues and perform root cause analysis for data integration problems.
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Required Skills

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2–4 years of IT experience with at least 1–2 years of hands-on experience using Fivetran.
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Solid experience with:
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Fivetran
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SQL
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Data Warehousing concepts
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ELT/ETL methodologies
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Experience with one or more cloud data warehouses:
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Snowflake
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Databricks
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Google BigQuery
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Amazon Redshift
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📌 Fivetran Data Engineer Bengaluru
🏢 Straive
📍 Bengaluru