Data Engineer
2 weeks ago
Primary Skill :
- GCP + Python + SQL
OR
- GCP + Java + SQL
NP : Immediate to 35 Days max
Job Location : Mumbai / Pune / Chennai / Bangalore / Hyderabad / Kolkata / Noida
- Bachelor's degree in computer science or a related discipline
- 6+ years of applicable engineering experience
- Experience in GCP, Big Query
- Strong proficiency in Python with an emphasis in building data pipelines
- Ability to write complex SQL to perform common types of analysis and aggregations
- Experience with Apache Airflow or Google Composer
- Detail-oriented and document all the work
- Ability to work with others from diverse skill-sets and backgrounds
- GCP solution architect - certified
Responsibilities :
- Design, develop, and deploy scalable and reliable data pipelines on Google Cloud Platform using services such as Cloud Dataflow, Apache Beam, or Apache Spark on Dataproc.
- Work closely with data scientists and analysts to understand data requirements and implement solutions that enable efficient data processing, analysis, and visualization.
- Build and maintain data ingestion processes from various sources (e.g. databases, APIs, streaming data) into GCP data storage solutions like BigQuery, Cloud Storage, and Cloud SQL.
- Optimize and tune data pipelines for performance, scalability, and cost-effectiveness.
- Implement data security and compliance measures to ensure data integrity and privacy.
- Collaborate with cross-functional teams to support data-driven decision-making and business intelligence initiatives.
- Stay updated with the latest trends and best practices in data engineering and GCP services.
Requirements :
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a data engineer with a focus on designing and building data pipelines and analytics solutions.
- Hands-on experience with Google Cloud Platform services, particularly BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Pub/Sub.
- Proficiency in programming languages such as Python, Java, or Scala for data processing and pipeline development.
- Strong understanding of data modeling, database design principles, and SQL.
- Experience with workflow orchestration tools like Apache Airflow or Google Cloud Composer.
- Familiarity with DevOps practices and tools for CI/CD, version control, and infrastructure as code.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
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