Job Location: Faridabad
A little bit about you:
- You understand the data lifecycle – ultimately delivering high-quality data that is able to evolve and grow
- You grow and mentor less experienced members of your team
- You work as part of a team – Your success is the success of the team
- You are not afraid of taking initiative; taking on new work, improving existing documentation or exploring better ways to achieve a goal – these things start with you
- You own your work – from idea to delivery, you’ll take your projects all the way
We believe the ideal candidate will have experience in:
- Delivering production-grade Python
- Writing reasonably optimized SQL
- Deploying on containerized infrastructure, such as Docker and Kubernetes
- Building event stream architecture and using tooling such as Kafka
- Building batch architecture and using tooling such as Airflow
- Writing Infrastructure as Code, using tools such as CloudFormation and Terraform
- Creating and managing databases; designing warehouse usage for distributed systems
- Develop and consume synchronous and asynchronous APIs
- Script using unix-based shells and Make
- Write and maintain permission systems such as RBAC with tools such as IAM or K8s
What youll be doing:
- Designing and building solutions that drive the data-centric strategic needs of the company
- Building group ownership of technical delivery within the Data Engineering team – this involves everything from discovery to support
- Contribute to our Analyst and Data Science enablement ecosystems by developing infrastructure, tooling, training and pioneering best practices
- Develop existing data solutions such as databases, warehouses and event streams
- Develop ETL pipelines and supporting infrastructure for data-driven insights
- Write IaC for AWS services, including RDS, S3, EKS (Kubernetes manifests), Kinesis and MSK
- Grow technical skills within and outside the team through code reviews, pairings, demos etc.
Anubhav Pipal: 9310515500
Email: anubhavp@damcogroup.com
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