Data Engineer - Google Cloud Platform
- Category: Software Developer Jobs
- Location: Ahmedabad, Gujarat
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 22K to 33K
- Published on: 2025/07/28
About the Role : Contractual Job for 6 months
Duration : 6 : Ahmedabad, Gurgaon
Timings : General IST
Notice Period : within 15 days or immediate joiner
Experience : 7- + Years
Job Summary
We are seeking a highly motivated and skilled GCP Data Engineer to join our growing data team. You will be responsible for designing, building, and maintaining our data pipelines and ETL processes on Google Cloud Platform (GCP).
You will work closely with data scientists, analysts, and other stakeholders to ensure data quality, optimize database performance, and implement data governance best practices. This role offers the opportunity to make a significant impact on our business by enabling data-driven decision-making.
• Provide business analytics support to the Management :
• Analyze business results and manage studies to collect relevant data.
• Design, build, and maintain data pipelines and ETL processes using Python as part of larger data platform projects.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality.
• Optimize database performance, including indexing, partitioning, and query optimization.
• Implement data governance and security measures to protect sensitive data.
• Monitor data pipelines, troubleshoot issues, and perform data validation.
• Develop and maintain documentation for data processes and workflows.
• Work extensively with GCP services, including BigQuery and GCS.
Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer, with a focus on GCP.
• Proficiency in Python for data processing and scripting.
• Strong SQL knowledge and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Understanding of data modeling, data warehousing, and data architecture.
• Hands-on experience with Google Cloud Platform (GCP) and its data services, particularly BigQuery and Google Cloud Storage (GCS).
• Experience with ETL tools and techniques.
• Version control skills using Git.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
Preferred Qualifications
• Experience with other GCP data services (e.g., Dataflow, Dataproc, Composer).
• Familiarity with data visualization tools (e.g., Looker, Tableau).
• Knowledge of Agile development methodologies.
• Experience with large datasets and distributed computing frameworks
(ref:hirist.tech)
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