Data engineer (GCP)

Code1 Tech Systems; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Code1 Tech is seeking a Data Engineer in Bengaluru to design and scale data pipelines using SQL and Python, with cloud experience (GCP preferred). You will ensure data quality and partner with cross-functional teams to deliver reliable analytics.

The role demands hands-on implementation, strong problem-solving, and the ability to work independently on data engineering solutions in a fast-paced environment.

Qualifications

• 6–8 years of professional Data Engineering experience.
• Strong hands-on SQL and Python skills.
• Experience with cloud platforms; GCP preferred.
• Ability to design scalable data pipelines and ETL/ELT processes.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Write efficient SQL queries for ETL and analytics.
• Develop data processing and automation using Python.
• Work with cloud platforms, preferably GCP.
• Ensure data quality and reliability across pipelines.
• Troubleshoot data issues and optimize performance.
• Collaborate with stakeholders to meet data requirements.
• Follow best practices for documentation, testing, and deployment.

Skills

SQL

Python

Data Engineering

Cloud platforms

GCP

Problem solving

Attention to detail

Communication

Tools

Databricks

Apache Airflow

Job description

At Code1 Tech, we drive innovations that shape the future of enterprise technology. Our expertise spans Data Engineering, AI/ML, Cloud Solutions, and Full-Stack Development. We empower businesses with cutting-edge technology solutions, enabling digital transformation at scale. Join us to build impactful products with a passionate team of engineers and innovators.

About The Role

We are looking for an experienced Data Engineer with strong expertise in SQL and Python and hands-on experience working with cloud platforms. Candidates with GCP experience will be preferred. The ideal candidate should have strong problem-solving abilities, attention to detail, and the confidence to work independently on data engineering solutions.

Key Responsibilities:

• Design, develop, and maintain scalable and reliable data pipelines and data engineering solutions.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Develop data processing and automation solutions using Python.
• Work with cloud-based data platforms, preferably Google Cloud Platform (GCP).
• Ensure data quality, accuracy, consistency, and reliability across data pipelines.
• Troubleshoot data-related issues and identify effective solutions to improve pipeline performance.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver effective solutions.
• Follow best practices for data engineering, documentation, testing, and deployment.

Required Technical Skills:

• 6-8 years of professional experience in Data Engineering.
• Strong hands-on experience with SQL and Python.
• Experience working with at least one cloud platform; GCP is preferred.
• Strong understanding of data engineering concepts, data pipelines, and ETL/ELT processes.
• Excellent problem-solving and analytical skills.
• Strong attention to detail with a focus on data accuracy and quality.
• Good communication skills with the ability to explain technical concepts clearly.
• Confident in technical decision-making and hands-on implementation.

Good To Have:

• Experience with Databricks.
• Experience with Apache Airflow.
• Exposure to modern data engineering and cloud-based data platforms.