Data Engineer

PORCH 💚

. Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer .

Posted 9/15/2026full-timeRemote • IndiaMid-LevelSenior💰 ₹1,575,000 - ₹2,205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and monitoring ETL/ELT pipelines using BigQuery and Dataflow, with a strong focus on SQL for data transformations and optimization of data models. Collaborates effectively with cross-functional teams to translate business requirements into technical solutions.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentExpert-Level SQL ProficiencyGoogle Cloud Ecosystem ExperienceData Warehousing Lifecycle ManagementData Model Design and Refinement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL ScriptingData TransformationBigQueryDataflowCloud ComposerStar/Snowflake Data ModelsPartitioningClusteringDDL WritingQuery Plan Analysis

Soft Skills

Excellent Written CommunicationCollaboration

Tools & Technologies

Google Cloud StorageIAM Best Practices

Industry Keywords

Data EngineeringCloud-Based Data WarehousesData Pipeline OptimizationUS Business Teams

Tech Stack

Tools & technologies

BigQueryCloudETLSQL

About the role

Key responsibilities & impact

Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer
Develop high-performance SQL scripts for complex data transformations across multiple datasets
Contribute to the design and refinement of Star/Snowflake data models
Identify and resolve data pipeline bottlenecks, optimizing query speed and cloud cost-efficiency
Partner with Data Analysts, Data Scientists, and Actuaries to translate business logic into technical specifications
Participate in peer code reviews and maintain data warehouse documentation

Requirements

What you’ll need

3+ years of professional data engineering experience, specifically within cloud-based data warehouses
Solid experience with the Google Cloud ecosystem, including BigQuery, Cloud Storage, and IAM best practices
Expert-level SQL proficiency, including window functions, recursive CTEs, query plan analysis, and writing DDL
Strong grasp of partitioning, clustering, and data warehousing lifecycle management
Excellent written and communication skills in English language
Proven experience working with US based business teams
A quiet, dedicated workspace
Reliable internet connection with a minimum speed of 50 Mbps

Benefits

Comp & perks

Medical insurance
Accident insurance
Retiral benefits
12 company-paid holidays
2 flexible holidays
Privilege/earned leave
Casual/sick leave
Paid maternity and paternity leaves
Weekly wellness events