Hybrid Pan India 10–15 yrs Apply by Oct 23, 2026

Data Engineer -Ritika

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

10–15 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Oct 23, 2026

Required Skills

Data EngineerGCPETL

Job Description

We'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 Glance

Work ModeHybrid

EmploymentFull-time

Experience10–15 yrs

Openings1

LocationPan India

DeadlineOct 23, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

• STEP 0130 min

  Screening Call

  Introductory conversation with our talent team to understand your background and motivations.

• STEP 0260–90 min

  Technical Round

  Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

• STEP 0345 min

  Culture Fit

  Conversation with practice leadership covering working style, ownership, and how you collaborate.

• STEP 04Within 5 days

  Offer

  Formal offer with full compensation breakdown, start date, and onboarding plan.