Gypsy Collective

MiddleDWHEngineer

₹15–25L ~AI est. Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Middle DWH Engineer at Gypsy Collective. Skills: Data warehousing, Data Lake, ETL/ELT, Data pipelines. Design DWH solutions. Build DWH solutions”

Industry & Context.

Problems you'll solve

Troubleshoot; Optimize

What They're Looking For.

Must Have

3+ years SQL, 3+ years data ingestion processes, 3+ years Apache Airflow, 2+ years Python, 3+ years DWH concepts, 3+ years production data pipelines, PostgreSQL and Trino experience, modern analytical databases experience, Git and collaborative development workflows

Nice to Have

Change Data Capture (CDC) tools experience, incremental loading experience, AWS, GCP, or Azure experience, Docker and containerized experience, streaming or near real-time data pipelines experience, dbt or similar data transformation experience, data cataloging, lineage, or governance tools experience

What You'll Do.

Maintain DWH solutions

Design Data Lake solutions

Build Data Lake solutions

Maintain Data Lake solutions

Optimize ETL pipelines

Support ETL pipelines

Optimize ELT pipelines

Support ELT pipelines

Integrate data flows from APIs

Integrate data flows from databases

Integrate data flows from SaaS platforms

Integrate data flows from third-party

Maintain data flows from APIs

Maintain data flows from databases

Maintain data flows from SaaS platforms

Maintain data flows from third-party

Implement incremental loading

Implement CDC processes

Implement reprocessing

Monitor data pipelines

Troubleshoot data pipelines

Improve data pipelines

Implement data quality checks

Implement validation rules

Implement automated monitoring

Collaborate with analysts

Collaborate with BI developers

Collaborate with engineers

Collaborate with business stakeholders

Deliver scalable data

Participate in code reviews

Contribute to engineering standards

Contribute to best practices

How You'll Work.

Team & Collaboration

Analysts; BI developers; Engineers; Business stakeholders

Full Job Description

We are looking for a **Middle DWH Engineer** to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders. **📅 Your adventures include:** * design, develop, and maintain DWH and Data Lake solutions aligned with business requirements; * build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies; * integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems; * work with PostgreSQL, Trino, and cloud-based analytical platforms to support reporting and analytics needs; * implement and support incremental loading, CDC processes, backfills, and reprocessing workflows; * monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data; * implement data quality checks, validation rules, and automated monitoring processes; * optimize SQL queries, data models, and pipeline performance; * collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions; * participate in code reviews and contribute to engineering standards and best practices. **Requirements** **🧭 What makes you a great match:** * strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (3+ years); * strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems; ability to design, develop, troubleshoot, and maintain reliable data ingestion processes in production environments (3+ years); * experience with Apache Airflow or similar workflow orchestration tools (3+ years); * experience with Python for data processing, integrations, and automation (2+ years); * good understanding o

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