Data Engineer

Ovii's Interpretation of the Role

We’re looking for a Data Engineer to design, build, and operate cloud‑based data platforms that power analytics, BI, and AI/ML for our clients. You’ll create reliable ELT pipelines, model data in Snowflake and Databricks, and ensure high‑quality, query‑ready data for downstream reporting and machine‑learning workloads.

Role Snapshot

• Design & maintain ELT/ETL pipelines
• Build data models on Snowflake & Databricks
• Orchestrate workflows with Azure Data Factory & Matillion
• Integrate SaaS data via Fivetran
• Develop Python data‑processing scripts
• Ensure data quality for BI & ML
• Collaborate with analysts & client stakeholders
• Document pipelines and data definitions

Must-Have Requirements

• Azure Data Factory
• Databricks
• Matillion
• Fivetran
• Snowflake
• SQL
• Python
• Data warehousing concepts
• ETL/ELT pipeline development
• Dimensional modeling
• hands‑on data engineering

Nice-to-Have Signals

• SSIS
• Salesforce integration via Fivetran
• AWS S3
• Power BI / Tableau
• Jira workflows
• Data for AI/ML workflows
• Redshift or Synapse exposure
• SSIS integration
• Salesforce data integration
• AWS S3 handling
• BI tool usage

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Build, test, and maintain ELT/ETL pipelines using Azure Data Factory, Matillion, and Fivetran.
• Develop data transformations and models on Snowflake and Databricks for analytics and AI/ML.
• Create and manage SSIS packages and scheduled jobs for data integration.
• Configure connectors (e.g., Salesforce) and ingest data from databases, APIs, files, and SaaS sources.
• Write clean, reusable Python scripts for data processing and automation.
• Support data quality, validation, and monitoring for downstream BI (Power BI/Tableau) and ML teams.
• Track work in Jira and partner with analysts and client stakeholders to gather requirements.
• Document pipelines, data definitions, and processes.

Good Fit If You Have

• Curiosity and ownership mindset
• Clear communication with clients and analysts
• Comfortable in a consulting‑delivery environment
• Fast learner eager to adopt new tools
• Strong problem‑solving orientation