HYDERABAD · FULLTIME
Senior Data Engineer
Datanimbus
Hyderabad · hybrid · Posted 33d ago
About a minute. You'll make an account on the way through.
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Section · 01
About this role
Role & responsibilities
5+ years of experience in data engineering, data architecture, data platforms & analytics
At least 3+ years of experience with Databricks, PySpark, Python, and SQL.
Consulting / customer-facing experience, working with external clients across a variety of industry markets
Comfortable writing code in both Python and SQL
Proficiency in SQL and experience with data warehousing solutions
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Strong understanding of data modeling, ETL processes, and data architecture principles.
Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments - GitHub, Azure DevOps, Azure Pipelines
Working knowledge of MLOps methodologies
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery - managing scope and timelines Documentation and white-boarding skills
Experience working with clients and managing conflicts
Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects
Good to have Databricks Certifications
Sourced from naukri
Section · 02