Databricks+Spark

Job SummaryThe Sr. Developer role is crucial for driving innovation and efficiency in our hybrid work model. With a focus on Kafka Python Databricks SQL Databricks Workflows and PySpark the candidate will enhance our data processing capabilities. Experience in Claims and Billing domains is advantageous. This position requires 8 to 9 years of experience and...

Job Title: Databricks ArchitectExperience: 12+ yearsJob Summary:We are seeking an experienced Databricks Architect to design, implement, and optimize data solutions on the Databricks platform. The ideal candidate will have deep expertise in big data technologies, cloud platforms, and analytics architectures, with strong communication skills to interact...

Role:Databricks ArchitectDesignation:Data ArchitectExperience:7–10 yearsLocation:ChennaiAbout the role:We're looking for aDatabricks Architectto design, build, and optimize data pipelines and large-scale integrations for enterprise-grade data environments. The ideal candidate will bring strong experience inAzure Databricks, Data Factory, and SQL-based data...

Skill: DatabricksExperience: 6 to 13 yearsLocation: BhubaneswarJob descriptionResponsibilities:Designing, building, and deploying data pipelines and workflows using Databricks.Developing and optimizing Apache Spark applications for data processing and analytics.Integrating Databricks with various data sources and platforms.Implementing data quality checks...

The Candidate must have 4 Year of relevant of experience in Databricks AWS Python Hands on experience on AWS Cloud platform especially S3 Glue Lamda. Experience on spark scripting.

Senior Data Engineer – DatabricksLocation: Hyderabad/ChennaiWork Schedule: Timings 2:30 PM to 11:30 PMRole Overview:We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks to design, build, and optimize scalable data pipelines and architectures. You will collaborate with cross-functional teams including data scientists,...

Key responsibilities include designing developing and maintaining scalable data pipelines using Apache Spark on Databricks Writing efficient and production ready PySpark or Scala code for data transformation and ETL processes Integrating data from various structured and unstructured sources into a unified platform Implementing Delta Lake and managing data...

Experience : 8-15 years. Primary Roles And Responsibilities : Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack. Ability to provide solutions that are forward-thinking in data engineering and analytics space. Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in...

Experience with Azure datafactory,Azure ,Python, Pyspark, Databricks, SQL Key ResponsibilitiesDesign and build ETL/ELT pipelines to ingest, transform, and load data from clinical, omics, research, and operational sources.Optimize performance and scalability of data flows using tools like Apache Spark, Databricks, or AWS Glue.Collaborate with domain experts...

ETL Developer will be responsible for designing, implementing, and optimizing distributed data processing jobs to handle large-scale data in Hadoop Distributed File System(HDFS) using Apache Spark and Python. This role required deep understanding of data engineering principles, proficiency in Python and hands-on experience with Spark and Hadoop ecosystems....