Senior Data Engineer at MarketOne International (India) – Bangalore | Jobyssey

About MarketOne

MarketOne International is a global provider of B2B marketing services, helping enterprise companies identify new prospects, develop demand generation programmes, and convert pipeline to revenue. With delivery capability across EMEA, Asia Pacific, and the Americas, MarketOne serves many of the world’s largest companies.
Our Data Services practice sits at the centre of everything we deliver. We are expanding that practice to support a growing portfolio of enterprise engagements, with a flagship new programme at the forefront — a modern, cloud-native data platform built on Databricks that will define how we deliver unified marketing data and attribution at scale.

About the Role

This role is primarily a Databricks build. You will take ownership of a greenfield platform on Databricks and Delta Lake, responsible for ingesting signals from marketing platforms, and transforming them into a unified account journey view that drives attribution and media optimisation across a major enterprise engagement.
Beyond that core programme, you will also contribute to existing client work on our Microsoft and Azure data stack — SQL Server, SSIS, and Azure Data Factory — where your broader data engineering experience will add immediate value.

What You Bring

Required — Databricks

3+ years building production systems on Databricks
Demonstrated experience with Delta Live Tables, Databricks Workflows, and PySpark at production scale
Working knowledge of Unity Catalog, Delta Lake versioning, and Databricks SQL
Strong Python skills for data transformation and pipeline logic
Experience using Genie for writing code, building reports and establishing spaces.
Experience integrating with REST APIs from Databricks and using connectors.
Familiarity with Git, CI/CD for data pipelines, and dev/staging/prod environment management
Comfortable with data modelling concepts in a Lakehouse context

Required — General

6+ years of overall data engineering experience
Strong SQL across both T-SQL and ANSI/cloud SQL dialects
Excellent communication skills; able to work directly with senior client-facing stakeholders
Experience building pipelines that feed reporting tools such as Power BI

Preferred — Databricks

Databricks Certified Data Engineer Associate or Professional certification
Experience with MLflow for model tracking and Databricks Feature Store

Preferred — Microsoft Stack

MS SQL Server and SSIS
Azure Data Factory
Power BI development
C# or .NET development
Experience with CRM, ERP, or marketing automation platforms as data sources

Explore more jobs