ValueBase Consulting
Senior Databricks Engineer
ValueBase Consulting, Orlando, Florida, us, 32885
Databricks Engineer
Orlando, FL (Hybrid)
6+ Months
$55/HR on W2
Candidates should be local and should be on our W2.
Responsibilities:
Develop and implement scalable analytics solutions on Azure.
Design, develop and manage the pipelines w.r.t to collection, storage & access, data engineering in terms of quality, ETL, Data Modelling.
Design of data solutions on Databricks including Delta lake, Data warehouse, Data marts and other data solutions to support the analytics needs of the organization.
Cross functional work involving data landscape understanding, conducting discovery exercises, developing proof of concepts, and demonstrating it to stakeholders.
Requirements:
Overall experience of 5-7 years with more than 4 years in developing data lakes, and DataMart on the Databricks platform.
Proven skill sets in AWS Data Lake services such as – AWS Glue, S3 Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
Good understanding of developing data warehouses, data marts, etc.
Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
Analytical and conceptual thinking. Good collaboration and communication skills.
Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
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Orlando, FL (Hybrid)
6+ Months
$55/HR on W2
Candidates should be local and should be on our W2.
Responsibilities:
Develop and implement scalable analytics solutions on Azure.
Design, develop and manage the pipelines w.r.t to collection, storage & access, data engineering in terms of quality, ETL, Data Modelling.
Design of data solutions on Databricks including Delta lake, Data warehouse, Data marts and other data solutions to support the analytics needs of the organization.
Cross functional work involving data landscape understanding, conducting discovery exercises, developing proof of concepts, and demonstrating it to stakeholders.
Requirements:
Overall experience of 5-7 years with more than 4 years in developing data lakes, and DataMart on the Databricks platform.
Proven skill sets in AWS Data Lake services such as – AWS Glue, S3 Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
Good understanding of developing data warehouses, data marts, etc.
Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
Analytical and conceptual thinking. Good collaboration and communication skills.
Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
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