Software Engineer Practitioner

5 years

17 - 18 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Software Engineer Practitioner – Full Stack Data Engineer

Location:

Chennai (Hybrid)-34305

Type:

Full-time

Compensation:

Up to ₹18 LPA

About The Role

We are seeking a seasoned

Full Stack Data Engineer

to join our Enterprise Data Platform team. This role is crucial in designing, building, and optimizing scalable data pipelines on the

Google Cloud Platform (GCP)

, using native tools such as

BigQuery, Dataform, Dataflow, and Pub/Sub

. You will ensure best practices in data governance, security, and performance while collaborating closely with cross-functional teams.This is a high-impact opportunity to influence Ford’s data engineering architecture and contribute to the company’s digital transformation.

Key Responsibilities

  • Design, develop, and maintain robust, scalable data pipelines on GCP using BigQuery, Dataform, Dataflow, and Pub/Sub.
  • Collaborate with data engineering, architecture, and product teams to build data models, solutions, and automation.
  • Ensure data governance, security, auditability, and high performance across all pipelines.
  • Build custom cloud-native solutions leveraging tools like Data Fusion, Airflow, and Terraform.
  • Optimize data transformation workflows using Python (NumPy, Pandas, PySpark, etc.) and SQL.
  • Engage with stakeholders to understand data requirements and translate them into scalable engineering solutions.
  • Participate in Agile/Scrum processes, including writing user stories and contributing to sprint planning.
  • Drive the adoption of best practices in data warehousing, data lake design, and DevOps.

Must-Have Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in full stack data engineering and database performance optimization.
  • Strong command of GCP native tools: BigQuery, Dataform, Dataflow, Pub/Sub, Data Fusion.
  • Proficient in Python, Java, SQL, and data orchestration tools like Airflow.
  • Experience with Terraform, Tekton, and version control (e.g., Git).
  • Solid understanding of data architecture, ETL/ELT pipelines, and data governance.
  • Deep familiarity with Agile methodology, DevOps, and collaborative product development.
  • Excellent communication skills and stakeholder engagement experience.

Preferred Skills (Nice To Have)

  • Experience with PostgreSQL, Dataproc, Cloud SQL, and containerization tools.
  • Knowledge of industrial or enterprise data products and real-time data streaming.
  • Experience working in a regulated or large enterprise environment.

Additional Information

  • Interact with internal data and analytics product lines to identify technical opportunities.
  • Influence design standards and ensure reusability and scalability of developed components.
  • Support process improvements across data delivery, curation, and analytics operations.
Skills: dataflow,python,java,gcp,etl

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