Abrar Admin

TechDome

<div><div><b>About the Role</b></div><div>
We're looking for an early-career Data Engineer to help build and maintain the cloud data platforms that power analytics, BI, and AI/ML for our clients. You'll work alongside senior engineers and consultants to move raw, fragmented data into clean, reliable, query-ready form on Snowflake &mdash; supporting everything from customer-360 dashboards to real-time decision-making.</div><div><b>
Key Responsibilities</b></div><ul><li>
Build, test, and maintain ELT/ETL pipelines using Matillion and Fivetran to ingest data from databases, APIs, files, and SaaS sources into Snowflake.</li><li>
Develop and maintain SSIS ETL packages and jobs for data integration and scheduled workloads.</li><li>
Develop and optimize data models and SQL transformations in Snowflake for analytics and reporting use cases.</li><li>
Work with AWS, including managing data in S3 (staging, ingestion, and storage).</li><li>
Write clean, reusable Python for data processing, automation, and pipeline logic.</li><li>
Support data quality, validation, and monitoring so downstream BI (Power BI/Tableau) and ML teams can trust the data.</li><li>
Track and manage work through Jira workflows; partner with analysts and client stakeholders to translate business questions into data requirements.</li><li>
Document pipelines, data definitions, and processes.</li></ul><div><b>
Must-Have Skills</b></div><ul><li>
1&ndash;3 years of hands-on experience in data engineering, BI engineering, or a closely related role.</li><li>
Strong SQL and solid working knowledge of Python.</li><li>
Hands-on experience with Snowflake.</li><li>
Experience building pipelines with Matillion and/or Fivetran (ELT), and developing SSIS packages and jobs (ETL).</li><li>
Working knowledge of AWS, including S3.</li><li>
Understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.</li><li>
Familiarity with version control (Git) and Jira workflows.</li></ul><div><b>
Good to Have</b></div><ul><li>
Experience integrating Salesforce data via Fivetran.</li><li>
Exposure to Databricks, Redshift, or Synapse.</li><li>
Experience with BI tools (Power BI, Tableau).</li><li>
Exposure to data for AI/ML workflows.</li></ul><div><b>
What We Look For</b></div><div>
Curiosity, ownership, and a problem-solving mindset; comfort working in a consulting/client-delivery environment; clear communication and a willingness to learn fast.</div></div><div></div>

Data Engineer

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Data Engineer