Highbrow LLC
AWS Data Bricks Spark/Scala Engineer
Highbrow LLC, Saint Louis, Missouri, United States, 63146
Job Title:
AWS Data Bricks Spark/Scala Engineer
Job ID:
2023-11933
Job Location:
Morris Plains, NJ (remote to start); Remote, Memphis, TN (preferred), Morris Plains, NJ, Austin, TX (preferred), St. Louis, MO
Employment Type:
W2
Key Technology:
DataBricks, AWS, Spark
Job Responsibilities:
Drive mentality of building well architected applications for AWS Cloud.
Drive the mentality of quality being owned by the entire team.
Identify code defects and work with developers to address quality issues in product code.
Finding bottlenecks and thresholds in existing code through the use of automation tools.
Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
Ownership over your work task and are comfortable interacting with all levels of the team and raise challenges when necessary.
Skills and Experience Required:
6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration).
In depth knowledge on Hadoop architecture and its components. Troubleshooting the Hadoop Yarn jobs is a must. Implement Hadoop job orchestration using Shell scripting and Airflow.
In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
Strong experience in writing complex and effective SQLs, and Stored Procedures. Strong query optimization skills to improve performance of ETL process.
Strong hands-on cloud experience with AWS suite.
Demonstrated work experience in Hadoop, Spark, and Hive.
Strong development experience on Databricks components.
Strong hands-on experience on Spark is a must.
Work experience on Hadoop as data warehouse/Data Lake implementations.
Moderate to senior Terraform development experience needed.
Health care domain knowledge is a plus.
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AWS Data Bricks Spark/Scala Engineer
Job ID:
2023-11933
Job Location:
Morris Plains, NJ (remote to start); Remote, Memphis, TN (preferred), Morris Plains, NJ, Austin, TX (preferred), St. Louis, MO
Employment Type:
W2
Key Technology:
DataBricks, AWS, Spark
Job Responsibilities:
Drive mentality of building well architected applications for AWS Cloud.
Drive the mentality of quality being owned by the entire team.
Identify code defects and work with developers to address quality issues in product code.
Finding bottlenecks and thresholds in existing code through the use of automation tools.
Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
Ownership over your work task and are comfortable interacting with all levels of the team and raise challenges when necessary.
Skills and Experience Required:
6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration).
In depth knowledge on Hadoop architecture and its components. Troubleshooting the Hadoop Yarn jobs is a must. Implement Hadoop job orchestration using Shell scripting and Airflow.
In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
Strong experience in writing complex and effective SQLs, and Stored Procedures. Strong query optimization skills to improve performance of ETL process.
Strong hands-on cloud experience with AWS suite.
Demonstrated work experience in Hadoop, Spark, and Hive.
Strong development experience on Databricks components.
Strong hands-on experience on Spark is a must.
Work experience on Hadoop as data warehouse/Data Lake implementations.
Moderate to senior Terraform development experience needed.
Health care domain knowledge is a plus.
#J-18808-Ljbffr