Data Engineer

CoHire; Bengaluru; Presencial; INR 4.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

CoHire is seeking a hands-on Data Engineer in Bengaluru to own data infrastructure for media and marketing reporting. You will design Snowflake models, validate data across various sources, and standardize disparate media data into trusted datasets.

The role sits at the intersection of engineering and marketing analytics, requiring strong SQL, dbt, and cloud skills. You will collaborate with data ops and PMs to ensure reliable dashboards and reports.

Formación

• 5+ years in data engineering or analytics engineering roles
• Strong hands-on experience with Snowflake, Azure and AWS
• Experience building and optimizing data models, pipelines and transformations
• Experience with data validation, QA and reconciliation in marketing datasets
• Familiarity with medallion/edd data architecture and regression testing

Responsabilidades

• Build, maintain and optimize Snowflake data models, views and transformations
• Validate and reconcile data across multiple sources for accurate reporting
• Deploy, manage and troubleshoot data feeds and pipelines
• Develop subject matter expertise on vendor APIs and data feeds
• Normalize and standardize media data across platforms and schemas
• Apply consistent data typing, casting and transformation logic
• Create regex-based parsing logic for file ingestion and classification
• Troubleshoot data issues and drive incident resolution with teams
• Collaborate with stakeholders to support trusted reporting and dashboards
• Improve performance and maintainability of queries and pipelines
• 5+ years in data engineering or analytics roles

Conocimientos

Snowflake

Azure

AWS

SQL

dbt

Azure DevOps

CI/CD

data normalization

data validation

marketing data sources

regex parsing

Herramientas

Looker

Tableau

Descripción del empleo

We're looking for a hands-on Data Engineer with 5+ years of experience building and optimizing pipelines across Snowflake, Azure, and AWS to own the data infrastructure behind media and marketing reporting.

This role sits at the intersection of engineering and media/marketing domain expertise — you'll build and maintain Snowflake data models and transformations, validate and reconcile data across multiple vendor and partner sources, and normalize inconsistent media data (naming conventions, schemas, data types) coming from programmatic platforms, social platforms, and ad servers into trusted, standardized datasets.

Responsibilities

• Build, maintain and optimize Snowflake data models, views and transformations
• Validate and reconcile data across multiple sources to ensure reporting accuracy
• Implement, manage and troubleshoot data feeds
• Have or develop awareness of what is available in vendor/partner APIs and data feeds (develop subject matter expertise)
• Normalize and standardize media data across disparate platforms (naming conventions, schemas, etc.)
• Implement consistent data typing, casting and transformation logic
• Develop and maintain regex-based parsing logic for file ingestion and classification
• Troubleshoot data discrepancies and proactively identify data quality issues — partner with data ops and project managers to work on priority-based incident response and issue resolution
• Partner with stakeholders to ensure datasets support trusted reporting and dashboards
• Improve performance and maintainability of existing queries and pipelines
• 5+ years in data engineering or analytics engineering roles (or equivalent hands-on pipeline experience)

Required Skills

• Strong hands-on experience with the following technologies:
• Snowflake
• Azure (Data Factory, storage or related services)
• AWS (S3, IAM, Step Functions)
• SQL (advanced level)
• Alteryx (preferred, but not required)
• dbt knowledge; comfortable working within a medallion architecture
• Experience working within a structured version control environment through Azure DevOps, following standard change management protocols, code management, etc.
• Working knowledge of CI/CD pipeline best practices via Azure DevOps
• Experience with media or marketing data sources such as (agency-side experience preferred): Programmatic platforms (Viant, Yahoo, Amazon, etc.) Social platforms (Meta, TikTok, etc.) Ad servers (Campaign Manager, etc.)
• Experience with a variety of data feeds (Excel, CSV, APIs) and experience managing inconsistent schemas
• Strong understanding of data normalization and standardization in marketing datasets
• Proven experience with data validation, QA and reconciliation
• Experience with Claude Code or some other agentic development platform

Nice to have

• Experience with Improvado or similar marketing ETL tools
• Familiarity with regex-based file handling and parsing logic
• Experience building reusable data models or transformation frameworks
• Exposure to BI tools (Looker, Tableau, etc.)