Lead GCP Data Engineer

Exp

Location

Work Mode

Notice Period

Mandatory Skills:

Bigquery, Google Cloud Storage, GCP, Python

Experience Level:

10 to 12 years of relevant IT experience

Key Responsibilities:

● Design, develop, test, and maintain scalable ETL data pipelines using Python.

● Architect the enterprise solutions with various technologies like Kafka, multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API management, DBT, using LLMs as needed in the solution, redaction of sensitive information, DLP (Data Loss Prevention) etc.

● Work extensively on Google Cloud Platform (GCP) services such as:

○ Dataflow for real-time and batch data processing

○ Cloud Functions for lightweight serverless compute

○ BigQuery for data warehousing and analytics

○ Cloud Composer for orchestration of data workflows (on Apache Airflow)

○ Google Cloud Storage (GCS) for managing data at scale

○ IAM for access control and security

○ Cloud Run for containerized applications

Should have experience in the following areas :

○ API framework: Python FastAPI

○ Processing engine: Apache Spark

○ Messaging and streaming data processing: Kafka

○ Storage: MongoDB, Redis/Bigtable

○ Orchestration: Airflow

○ Experience in deployments in GKE, Cloud Run.

● Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.

● Implement and enforce data quality checks, validation rules, and monitoring.

● Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.

● Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.

● Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.

● Document pipeline designs, data flow diagrams, and operational support procedures. Required Skills:

● 10 to 12 years of hands-on experience in Python for backend or data engineering projects.

● Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).

● Solid understanding of data pipeline architecture, data integration, and transformation techniques.

● Experience in working with version control systems like GitHub and knowledge of CI/CD practices.

● Experience in Apache Spark, Kafka, Redis, Fast APIs, Airflow, GCP Composer DAGs.

● Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

● Experience in data migrations from on-premise data sources to Cloud platforms.

Good to Have (Optional Skills)

● Experience working with the Snowflake cloud data platform.

● Hands-on knowledge of Databricks for big data processing and analytics.

● Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.

Additional Details

● Excellent problem-solving and analytical skills.

● Strong communication skills and ability to collaborate in a team environment.

Education

● Bachelor's degree in Computer Science, a related field, or equivalent experience.

Regards,

Sandeep Kumar

sandeep.vinaganti@quesscorp.com