JB001810 Data Engineer -Ritika Pan India ·

Techila Global; India; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Techila Global is seeking a Principal Data Engineer to drive architecture, strategy, and delivery of data pipelines across the Enterprise Data platform. You will lead hands-on engineering, set standards for data governance, and mentor a team of engineers while partnering with Product and Architecture leadership.

The role emphasizes building reliable, scalable pipelines with Python, Airflow, and dbt Core, leveraging Cloud Composer and GCS on GCP, and guiding data strategy across the organization.

Qualifications

• 10+ years of data engineering experience, with hands-on leadership.
• Strong SQL and data warehousing expertise.

Responsibilities

• Lead architecture and implementation of ETL/ELT pipelines.
• Define data governance, lineage, and quality standards.
• Mentor engineers and drive CI/CD and observability for data pipelines.

Skills

Python

SQL

Leadership

Tools

GCP

Airflow

dbt Core

Job description

# Data Engineer -RitikaJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Apply Now →← All JobsExperience10–15 yrsEmployment TypeFull-timeOpenings1 positionApply ByOct 23, 2026## Required SkillsData EngineerGCPETL## Job DescriptionWe're seeking a highly experienced Principal Data Engineer to drive the architecture, strategy, and delivery of data pipelines across our Enterprise Data platform.This role combines hands-on engineering, technical leadership, and data governance strategy. You're passionate about building reliable, scalable data pipelines with Python, Airflow, and dbt Core—and about setting the standards that govern our data across its full life cycle.You'll partner closely with Product and Architecture leadership to set technical direction while mentoring engineers across the team.Lead the architecture and strategy for ETL/ELT pipelines using Python, Airflow, and dbt Core across the Enterprise Data platform.Define and drive data management standards across the full data life cycle: ingestion, transformation, quality, governance, retention, and archival.Architect scalable, reliable data pipeline patterns for high-volume data.Partner with Product, Architecture, and business stakeholders on data strategy and roadmap planning.Mentor engineers across multiple experience levels and set engineering best practices for pipeline development.Drive adoption of cloud-native, GCP-based orchestration such as Cloud Composer, and storage such as GCS.Own data governance, cataloging, and lineage strategy.Lead root-cause analysis and performance optimization for large-scale data pipelines.Drive CI/CD automation and observability for data pipelines.10+ years of experience in data engineering, with leadership responsibility.Python ,Apache Airflow,ETL/ELT architecture at enterprise scale, dbt CoreDeep understanding of data management principles and the full data life cycle.Proven experience architecting large-scale data pipelines and data platforms.Strong SQL and data warehousing expertise.Experience with cloud-native data platforms, with a preference for Google Cloud Platform (GCP); other cloud platforms are also acceptable.Experience mentoring engineers and leading technical initiatives.Strong communication skills for partnering with stakeholders across the business.Deep experience with GCP, including Google Cloud Storage (GCS) and Cloud Composer.Experience with Kafka or other event streaming platforms.Experience with data governance and cataloging tools.Experience with CI/CD and observability tooling for data pipelines.### At a GlanceWork ModeHybridEmploymentFull-timeExperience10–15 yrsOpenings1LocationPan IndiaDeadlineOct 23, 2026Apply for this Role →[ Hiring process ]## What to expectFour stages, typically completed within **2–3 weeks**. We respect your time — every stage has a clear purpose and timely feedback.1. STEP 0130 min ### Screening Call Introductory conversation with our talent team to understand your background and motivations.2. STEP 0260–90 min ### Technical Round Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.3. STEP 0345 min ### Culture Fit Conversation with practice leadership covering working style, ownership, and how you collaborate.4. STEP 04Within 5 days ### Offer Formal offer with full compensation breakdown, start date, and onboarding plan.