Data Engineer - ETL Pipeline

<p><p>We are seeking hands-on Data Engineers with strong data migration experience and exposure to diverse database systems.<br/><br/><b>Responsibilities :</b><br/><br/></p><p>- Migrate ETL pipelines and plugins from Fivetran into Nexla/Snowflake.<br/><br/></p><p>- Build automation for ingestion, transformation, and observability.<br/><br/></p><p>- Deliver under tight deadlines in a fast-paced environment.<br/><br/></p><p>- This is a technical contributor role ideal for someone who thrives on execution rather than high-level architecture.<br/><br/></p><p>- Execute migrations from Fivetran and other legacy connectors into Snowflake/Nexla.<br/><br/></p><p>- Design and maintain ETL pipelines using Python, PySpark, DBT, and related tools.<br/><br/></p><p>- Build and optimize API-based integrations (authentication, pagination, automation).<br/><br/></p><p>- Ensure data quality, consistency, and monitoring across pipelines.<br/><br/></p><p>- Contribute to prioritization and phased delivery of ~1,500+ plugins.</p><br/><b>Requirements :</b><br/><br/><p>- 3-6 years in data engineering or ETL development, with hands-on migration work.<br/><br/></p><p>- Strong knowledge of Snowflake (data ingestion, transformation, optimization).<br/><br/></p><p>- Proficiency in Python for scripting and automation.<br/><br/></p><p>- Experience with PySpark, DBT, and API-driven data integrations.<br/><br/></p><p>- Familiarity with AWS/cloud-hosted data solutions and observability.<br/><br/></p><p>- Solid track record in ETL Data Engineering transition.</p><br/><b>Nice to Have :</b><br/><br/><p>- Prior experience with large-scale plugin migrations.<br/><br/></p><p>- Familiarity with Fivetran, Nexla, or similar aggregation platforms.<br/><br/></p><p>- Ability to balance scripting-level problem-solving with broader data engineering.<br/><br/></p><p>- Comfort working in time-sensitive, high-stakes environments.</p><br/></p> (ref:hirist.tech)