Lead Data Engineer

About the Company

Our client is a global digital transformation leader with a presence in over 50 countries. Specializing in Oracle Cloud, automation, data intelligence, and enterprise consulting, they help businesses modernize their systems and accelerate innovation at scale.

Job Description

Job Title : Lead Data Engineer

Experience : 10+ Years

Location : Hyderabad

Job Type : [Full-time ]

Job Overview :

We are looking for a skilled and motivated Lead Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for requirements gathering, designing, architecting the solution, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) & ELT data pipelines. The role involves working with customers directly, gathering requirements, discovery phase, designing, architecting the solution, using various GCP services, implementing data transformations, data ingestion, data quality, and consistency across systems, and post post-delivery support.

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.