FastTek Global / Find Work USA

Chennai, Tamil Nadu

Data Engineer #1065712
Position Description:

Data Engineer will join a Product Team within Global Data Insight & Analytics to design, build, deploy, and support end-to-end data and analytics products.
This role combines strong cloud, and development capabilities to transform complex business data into secure, reliable, high-performing, and user-friendly solutions.
The successful candidate will be equally comfortable building modern web applications and APIs, designing scalable data pipelines and data models, developing cloud-native services, and enabling analytics, reporting, and machine learning use cases.
This engineer will work across the full product lifecycle—from requirements and architecture through development, testing, deployment, operations, and continuous improvement.

Skills Required:

Big Query,, SQL, GCP Cloud Run, TERRAFORM, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, Analytical, Problem Solving

Skills Preferred:

Experience Required:

Engineer Exp: 4+ years Data Engineering work experience experience in SQL development and analytics/data product development experience.
3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.
Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.
Experience working with Airflow for scheduling and orchestration of data pipelines.
Experience working with Terraform to provision Infrastructure as Code.
2 + years professional development experience in Pyspark and Python.
Bachelor's degree in computer science or related scientific field.
Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.
Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption.
Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management.

Experience Preferred:

In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures especially Gen AI /LLM
Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines.
Experience in working with Agile and Lean methodologies.
Experience with performance tuning SQL queries.
Experience in creating and executing detailed test plans.
GCP Professional Data Engineer Certified - Nice to have

Education Required:

Education Preferred:

Additional Information:
Key Responsibilities:

Collaborate with business and technology stakeholders to understand current and future data requirements
Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
Ensure optimum performance and identify improvement opportunities

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