Data Engineer

About Company:-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Title: GCP Data Engineer

Location: Hyderabad

Experience: 4+ years

Employment Type: Contract to hire

Work Mode: Hybrid

Notice Period: - Immediate joiners

Job Description:

Data Engineer (L3) – Python & GCP

Experience Level:

4 to 6 years of relevant IT experience

Job Overview:

We are looking for a skilled and motivated 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 designing, developing, and maintaining

robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves

working with various GCP services, implementing data ingestion and transformation

logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

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

● 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 (based on Apache

Airflow)

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

○ IAM for access control and security

○ Cloud Run for containerized applications

● 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:

● 4–6 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.

● Strong experience in SQL with at least one enterprise database (SQL Server,

Oracle, PostgreSQL, etc.).

Good to Have (Optional Skills):

● Experience working with 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