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TekWissen India · Chennai, Tamil Nadu, India

Data Engineering Engineer II

Hybridfull timePosted 2 days ago
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Stack mentioned

pythonbigqueryapache-airflowterraformci/cdgithubgcppostgresqlcryptographyobservabilitydata-engineeringdata-modelingdata-governanceidentity-and-access-management

Overview

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet

Job Title: Data Engineering Engineer II

Location: Chennai

Work Type: Hybrid (4 Days work From Office)

Position Description

- We are seeking a highly accomplished and visionary Advanced Data Engineer / Technical Anchor to join our team.

- In this role, you will serve as the technical lead and architectural authority, designing enterprise-grade Cloud Data Solution Architectures leveraging Python, Cloud Dataproc (Spark), BigQuery, Astro (Airflow), and Terraform.

- You will act as a strategic partner between engineering teams and business leadership, establishing organizational CI/CD standards (Tekton, GitHub) and security scanning controls (Checkmarx, FOSSA, SonarQube).

- You will govern Cloud Run audit signals and GCS log archival frameworks, and mentor engineering talent to maximize the long-term strategic value of our data platform.

Skills Required

- Google Cloud Platform (Biq Query, Dataproc, TERRAFORM, Tekton, Cloud Run, AIRFLOW, POSTGRES, Python)

Skills Preferred

- Security scanning controls (Checkmarx, FOSSA, SonarQube)

Experience Required

- Engineer II Exp: 4+ years Data Engineering work experience

Experience Preferred

- Expert mastery of Python, distributed computing with Spark on Cloud Dataproc, and advanced BigQuery data modeling, query optimization, and cost management.

Education Required

- Bachelor's Degree

Additional Information

- Technical Anchor & Solution Architecture: Act as the lead engineer and domain expert, designing enterprise-grade Cloud Data Solution Architectures, implementing advanced design patterns, and guiding technology selection across the platform.

- Strategic Roadmap Alignment: Partner with business and engineering leaders to align technical roadmaps with organizational goals.

- Provide strategic advice on "build vs. buy" decisions to maximize long-term business value.

- IaC & CI/CD Strategy: Establish organizational standards for Infrastructure as Code using Terraform.

- Standardize automated release pipelines via GitHub and Tekton, embedding mandatory quality, security, and license compliance controls (Checkmarx, FOSSA, SonarQube).

- High-Performance Distributed Processing: Architect and optimize large-scale real-time and batch data processing systems leveraging BigQuery, Dataflow, Dataproc, Cloud Run, Pub/Sub, and distributed computing frameworks on GCP.

- Platform Health & Quality Metrics: Establish organizational coding patterns, reusable frameworks, and SLO compliance.

- Introduce and drive Software Engineering (SWE) metrics, including DORA metrics (lead time, deployment frequency, MTTR, change-failure rate), code coverage, cyclomatic complexity targets, and P99 latency standards.

- Data Governance & Enterprise Security: Drive the strategy and implementation for enterprise data governance, metadata management, data lineage, and strict GCP security controls (IAM, VPC Service Controls, encryption).

- Resilience, Observability & Incident Leadership: Establish deployment and observability standards; lead critical incident resolution and Root Cause Analysis (RCA) to implement permanent solutions and address technical debt.

- Mentorship & Culture: Mentor engineers across teams, conduct high-impact code reviews (Code Guardians), drive cultural change, and represent organizational technical excellence internally and externally (tech talks, blogs, open-source).

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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