SeniorLead Data Engineer (Azure Databricks) Fulltime RoleSaransh Inc • Alpharetta, Georgia, USA
SeniorLead Data Engineer (Azure Databricks) Fulltime Role
Saransh Inc • Alpharetta, Georgia, USA
[job_card.variable_days_ago]
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- [job_card.full_time]
[job_card.job_description]8 years of hands-on data engineering experience in enterprise environments. Strong expertise in Azure services especially Azure Databricks Functions and Azure Data Factory (preferred). Advanced proficiency in Apache Spark with Python (PySpark). Strong command over SQL query optimization and performance tuning. Deep understanding of ETL / ELT methodologies data pipelines and scheduling / orchestration. Hands-on experience with Delta Lake (ACID transactions optimization schema evolution). Strong experience in data modelling (normalized dimensional lakehouse modelling). Experience in both batch processing and real-time / streaming data (Kafka Event Hub or similar). Solid understanding of data architecture principles distributed systems and cloud-native design patterns. Experience with CI / CD tools such as Azure DevOps and Git. Familiarity with IaC tools (Terraform ARM). Exposure to data governance and cataloging tools (Azure Purview). Experience supporting machine learning or BI workloads on Databricks.
Role : Senior / Lead Data Engineer (Azure Databricks)
Location : Alpharetta GA (Onsite)
Job Type : Full Time
Description :
- Looking for an experienced Senior / Lead Data Engineer with 8 years of expertise in designing and delivering scalable high-performing data solutions on the Azure ecosystem.
- The ideal candidate will have deep hands-on experience with Databricks Spark modern data lakehouse architectures data modelling and both batch and real-time data processing.
- You will be responsible for driving end-to-end data engineering initiatives influencing architectural decisions and ensuring robust high-quality data pipelines.
Experience and Qualifications (Required) :
Preferred :
Note : Visa Independent candidates are highly preferred
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience : years
Vacancy : 1
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