Data Engineer

4 weeks ago


Any LocationBangalore, India KARYA CONSULTANTS PRIVATE LIMITED Full time

As a GCP Data Engineer, you will be a key player in designing, implementing, and optimizing data solutions on the Google Cloud Platform.

We are seeking a professional with hands-on experience in data engineering and a strong understanding of GCP services.

Key Responsibilities :

Data Architecture :


- Design and implement scalable and efficient data architectures on the Google Cloud Platform to meet project and business requirements.

GCP Implementation :


- Lead the implementation of data solutions using GCP services such as BigQuery, Dataflow, Dataprep, etc. ensuring optimal performance and reliability.

Data Integration :


- Develop and maintain robust data integration processes, facilitating seamless data flow across diverse systems and platforms.

ETL Processes :


- Design and implement ETL processes for extracting, transforming, and loading data into GCP, ensuring data quality and accuracy.

Performance Optimization :


- Identify and address performance bottlenecks, troubleshoot data-related issues, and implement optimizations to enhance overall system performance.

Data Security and Governance :


- Implement data security measures and ensure compliance with data governance policies and standards.

Collaboration :


- Work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.

Documentation :


- Create and maintain comprehensive documentation for data architectures, processes, and best practices.

Minimum Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Hands-on experience in data engineering, with a focus on Google Cloud Platform.

- Hands-on experience with GCP services, including but not limited to BigQuery, Dataflow, Dataprep, Dataproc etc.

- Proficiency in programming languages such as Python, SQL, or Java.

- Experience with data modeling, ETL processes, and data integration.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.

(ref:hirist.tech)

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