Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Data Engineering
Amazon Web Services
Apache Airflow
Apache Avro
Apache Parquet
Clarity
Continuous Delivery
Data Modeling
Data Quality
Data Warehouse
DevOps
Docker
GitHub
JSON
Offshoring
Microsoft Power BI
SQL
ELT
FOCUS
Software Testing
Snow Flake Schema
XML
Python
PySpark
Tableau
Job Details
Hello,
Hope you are doing well.
Note: Must Need to go Onsite from Day 1.
Title: Technical Lead / Senior Data Engineer
Location: Cincinnati, OH
Duration: 12 Months
Rate: DOE
Notes: Technical Lead with Expert knowledge in Snowflake and DBT. And need to lead the team (onshore - offshore), Majority of the work will be in DBT as an individual contributor and need to automate the tasks and workflows using DBT
Job Description:
- 10 years experience working on cloud data warehouses and data pipelines with a focus on data engineering, building scalable, sustainable and secure data platforms powering intelligent applications.
- Advanced experience in a Data Engineering or ELT Engineering role.
- Expert-level proficiency in SQL query and stored procedure development.
- Good knowledge of Data Modeling and Designing Architecture diagrams as per requirement.
- Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.
- Excellent experience with snowflakes and DBT
- Competent with Python, Airflow, GitHub and DAG construction.
- Experience with unstructured datasets and ability to handle Parquet, JSON, AVRO and XML file formats
- Strong understanding of CI/CD principles, DevOps practices, software testing and quality
- Hands-on Experience with cloud-based data engineering and storage technologies such as AWS and orchestration tools such as Apache Airflow Astronomer.
- Advanced experience implementing data quality initiatives, monitoring, and auditing.
- Oversee the design and development of interactive and engaging data visualizations and report using tools such as Looker, Tableau, Power BI, or custom visualization libraries.
- Ensure adherence to best practices, including principles of clarity, accuracy, governance, and effectiveness.
Must Have: Snowflake, DBT, Airflow, Five Tran, Python, Pyspark, Google looker, Expert in SQL optimizations, AWS, and Astronomer
Good to have: Tableau, Power BI, Docker.
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