About the Role

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 — supporting everything from customer-360 dashboards to real-time decision-making.

Key Responsibilities
- Build, test, and maintain ELT/ETL pipelines using Matillion and Fivetran to ingest data from databases, APIs, files, and SaaS sources into Snowflake.
- Develop and maintain SSIS ETL packages and jobs for data integration and scheduled workloads.
- Develop and optimize data models and SQL transformations in Snowflake for analytics and reporting use cases.
- Work with AWS, including managing data in S3 (staging, ingestion, and storage).
- Write clean, reusable Python for data processing, automation, and pipeline logic.
- Support data quality, validation, and monitoring so downstream BI (Power BI/Tableau) and ML teams can trust the data.




- Track and manage work through Jira workflows; partner with analysts and client stakeholders to translate business questions into data requirements.
- Document pipelines, data definitions, and processes.

Must-Have Skills
- 1-3 years of hands-on experience in data engineering, BI engineering, or a closely related role.
- Strong SQL and solid working knowledge of Python.
- Hands-on experience with Snowflake.
- Experience building pipelines with Matillion and/or Fivetran (ELT), and developing SSIS packages and jobs (ETL).
- Working knowledge of AWS, including S3.
- Understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.
- Familiarity with version control (Git) and Jira workflows.

Positive to Have
- Experience integrating Salesforce data via Fivetran.
- Exposure to Databricks, Redshift, or Synapse.
- Experience with BI tools (Power BI, Tableau).
- Exposure to data for AI/ML workflows.

What We Look For

Curiosity,

📌 Data Engineer (Hyderabad)
🏢 Techdome
📍 Hyderabad