| Data Engineer Local to Florida or at Orlando, Florida, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2536961&uid=d9dc5c5d39d444ce80d12903dda12bb4 From: Dharmesh, MITS [email protected] Reply to: [email protected] Location: Orlando Florida Title: Data Engineer Duration: 6 months will extend depending on the project Financial experience is a must have We are also looking for data engineers ,attached JD-- Were specifically looking for someone with strong experience in building (not just using) ELT frameworks using DBT, MWAA, and Snowflake, along with solid Python skills. Were looking for a data engineer to build and maintain ELT pipelines using Apache Airflow, dbt, and Snowflake in an AWS cloud environment.Should have experience in modular python coding with experience in deploying any container based services in aws with monitoring setup as well Key Skills & Experience: Strong SQL and Snowflake expertise, including performance tuning and data modeling. Proficient in Python for scripting, automation, and working with REST APIs. Experience with Apache Airflow for orchestration and workflow monitoring. Hands-on with dbt for modular, version-controlled data transformations. Solid experience with AWS services (e.g., S3, Lambda, IAM, CloudWatch) in data engineering workflows. Experience integrating and processing data from REST APIs. Understanding of data quality, governance, and cloud-native troubleshooting. "Must have below: 10+ Years Experience Great Communicator/Client Facing Individual Contributor 100% Hands on in the mentioned skills DBT Proficiency: model development: Experience in creating complex DBT models including incremental models, snapshots and documentation. Ability to write and maintain DBT macros for reusable code Testing and documentation: Proficiency in implementing DBT tests for data validation and quality checks Familiarity with generating and maintaining documentation using DBT's built in features Version control: Experience in managing DBT projects using git ,including implementing CI/CD process from the scratch AWS Expertise: Data STORAGE solutions: In depth understanding of AWS S3 for data storage, including best practices for organization and security Experience with AWS redshift for data warehousing and performance optimization Data Integration: Familiarity with Aws glue for ETL processes and orchestration -Nice to have Experience with AWS lambda for serverless data processing tasks Workflow Orchestration: Proficiency in using Apache Airflow on AWS to design ,schedule and monitor complex data flows Ability to integrate Airflow with AWS services and DBT models such as triggering a DBT model or EMR or reading from s3 writing to redshift Data Lakes and Data warehousing: Understanding the architecture of data lakes vs data warehouses and when to use each Experience with amazon Athena for querying data directly in s3 using SQL Monitoring and Logging: Familiarity with AWS cloud watch for monitoring the pipelines and setting up alerts for workflow failures Cloud Security: Knowledge of AWS security best practices ,including IAM roles, encryption, DBT profiles access configurations Programming Skills: Python: Proficiency in Pandas and NumPy for data analysis and manipulation Ability to write scripts for automating ETL processes and scheduling jobs using airflow Experience in creating custom DBT macros using jinja and Python allowing for reusable components within dbt models Knowledge on how to implement conditional logic in DBT through python SQL: Advanced SQL skills, including complex joins ,window functions, CTE's and subqueries Experience in optimizing SQL queries for performance and optimization" Keywords: continuous integration continuous deployment sthree Data Engineer Local to Florida or [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2536961&uid=d9dc5c5d39d444ce80d12903dda12bb4 |
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| 09:47 PM 24-Jun-25 |