Data Engineer (SQL, Python, Linux, AWS and PySpark)
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Data Engineer
Immediate starters required
Location: Hyderabad, TG & Pune, MH
Responsibilities
·Develop and enhance data-processing, orchestration, monitoring, and more by leveraging popular open-source software, AWS, and GitLab automation.
·Collaborate with product and technology teams to design and validate the capabilities of the data platform
·Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability
·Provide technical support and usage guidance to the users of our platform's services.
·Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.
Qualifications
·Experience building and optimizing data pipelines in a distributed environment
·Experience supporting and working with cross-functional teams
·Proficiency working in Linux environment
·5+ years of advanced working knowledge of SQL, Python, and PySpark
·Knowledge on Palantir
·Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, CodePipeline
·Experience with platform monitoring and alerts tools
Job ID: 126998679
Skills:
Apache Airflow, BigQuery, Spark, Apache Beam, Python, Sql, Dataform, Google Cloud Dataflow
Skills:
scalable architecture , Machine Learning, Artificial Intelligence, Sql, Nosql, Nlp, System Design, FastAPI, Python, Generative AI, LLMs, LangGraph, RAG pipelines
Skills:
Python, Vector Databases, Generative AI technologies, RAG LLMs
Skills:
vranger , Esxi, Vmotion, Vcenter, Veritas, Veeam, Vmware Vsphere, Linux System Administration, Zabbix, Azure, Ansible, Ha, Puppet, AWS, Chef, oci
Skills:
Cloud Computing, Sql, Fault Tolerance, Nosql, Jenkins, Docker, Linux, Build Automation, Restful Services, Query Optimization, Azure, Python, Kubernetes, AWS, Github Actions, CI CD
