DL
Data Engineer
Diverse Lynx India
Location not stated
3 weeks ago
- GCP
- Machine Learning
- BigQuery
- Dataflow
- Pub/Sub
- Composer
- CI/CD
- Jenkins
- GitHub
- Spinnaker
- Python
- SQL
- Java
- Scala
- Flink
- Beam
- Hadoop
- Docker
- Kubernetes
- Azure
- AWS
- Apache Kafka
3 weeks ago
About this opportunity :
Join ourTeam as aData Lead. You'll work within multi-functional product engineering teams to deliver top-quality data capabilities, demonstrating your engineering expertise and cloud opportunities
What you'll be doing:
- Implement scalable, resilient, low-latency data systems.
- Ensure systems meet performance and reliability standards.
- Collaborate with engineering leadership and stakeholders.
- Set technical strategy and best practices for data engineering.
- Deliver solutions for multiple entities within the group.
- Ensure alignment with business needs and cloud opportunities.
- Promote secure, high-quality data pipelines.
- Implement standards for data integrity and compliance.
- Identify and eliminate recurring issues through automation.
- Improve operational efficiency and reduce manual intervention.
- Provide guidance and technical leadership.
What you'll need:
- Extensive industry experience in designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record.
- Expertise inGCP Data Productsfor storage, processing, analytics, and machine learning, enabling enterprises to manage, analyse, and derive insights from data at scale e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
- Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud
- Proven experience and knowledge of automation andCI/CD – Jenkins, GitHub & Spinnaker.
- Best practicecoding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go).
- Strong working experience with operational data stores, data warehouse, big data technologies and data lakes
- Experience in using distributed frameworks (Spark, Flink, Beam,Hadoop)
- Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS.
- Strong experience working with (Real Time streaming), such asKafka technologies.
- Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.
- Good understating of cloud storage, networking, and resource provisioning
And any experience of these would be really useful:
- Certification in GCP "Cloud Architect”, "Cloud Developer”, "Professional Data Engineer”
Certification in Apache Kafka (CCDAK)
Data Engineer · Diverse Lynx India