Data Engineer - Databricks

Open Systems Technologies; New York (NY); Remote; USD 137,760 - 179,088; Full time

Job summary

A financial firm seeks a Data Engineer specializing in Databricks to develop scalable data solutions and manage cloud databases. The role emphasizes deep expertise in SQL, data modeling, and data governance, ideally suited for candidates with a Bachelor's degree and significant related experience. This is a remote position, requiring proficiency with tools like AWS and various Big Data technologies.

Qualifications

• 7+ years of experience in designing and building large-scale solutions.
• 3+ years designing and building solutions in the cloud.
• Expertise in cloud database management and data warehousing.

Responsibilities

• Develop data pipelines focusing on security, scalability, and reliability.
• Manage Cloud databases and solutions in Databricks Lakehouse.
• Work within Agile methodologies and CI/CD pipelines.

Skills

Data modeling

SQL

Cloud database management

Data governance

Scripting languages

Data warehousing concepts

Big Data technologies

Agile methodologies

Education

Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field

Tools

Databricks

AWS RDS

Vertica

SparkSQL

Hadoop

Job description

Data Engineer - Databricks

A financial firm is looking for a Data Engineer - Databricks to join their team. This role is remote.

Pay: $100-130/hr

US Citizens or GC Holders Only
No c2c - W2 Only

Qualifications:

1. Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field
2. 7+ years of experience in designing and building large-scale solutions in an enterprise setting
3. 3+ years designing and building solutions in the cloud
4. Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures
5. Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures
6. Deep SQL expertise, data modeling, and experience with data governance in relational databases
7. Experience with data warehousing concepts, methodologies, and frameworks using technologies like Vertica, Teradata, SparkSQL, Hadoop, Kafka
8. Refined skills using scripting languages (e.g., Python, bash)
9. Ability to design and develop data pipelines considering security, scalability, uptime, and reliability
10. Expertise in relational and dimensional data modeling
11. UNIX administration and general server administration experience
12. Experience with CI/CD pipelines
13. Experience with Big Data query and transformation tools such as Presto, Hive, SparkSQL, Cassandra, Solr (plus)
14. Experience using Spark, Kafka, Hadoop or similar distributed data technologies (plus)
15. Experience with Agile methodologies (preferred)
16. Experience with ETL/ELT tools like Talend, Informatica (plus)
17. Experience with Cloud Data Warehouses such as Redshift, BigQuery or similar (plus)