Sr. Lead Data Engineer

Overview

Hybrid
$60 - $80
Contract - W2
Contract - 12 Month(s)
75% Travel

Skills

lient is a pioneer in the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Shockwave Medical aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque. Position Overview We are searching for a talented and experienced Modern Data Stack Data Engineer to join our growing team. You will be responsible for designing
building
and maintaining data pipelines using technologies like Fivetran
Azure Data Factory and Python into our Snowflake data warehouse and transforming the data using tools like dbt and Coalesce. You will also be responsible for ensuring data quality
security
and performance of the data pipelines. Essential Job Functions Design
develop
and maintain data pipelines using Fivetran
Python
dbt/coalesce and Airflow from varied sources. Primary sources include Oracle Fusion Cloud
Salesforce
among many others. Write efficient SQL queries to transform and clean data for optimal consumption in Snowflake. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Collaborate with data analysts and business stakeholders to understand data requirements and design data models. Document data pipelines and processes for maintainability and knowledge sharing. Monitor and optimize data pipeline performance for efficiency and scalability. Troubleshoot and resolve data pipeline issues to ensure data availability. Create dashboards and advanced visualizations in Power BI Implement data observability tools like Monte Carlo Stay up to date on the latest trends and technologies in the modern data stack (Snowflake
Fivetran
dbt
etc.). Requirements 5+ years of experience as a Data Engineer or similar role. Proven experience with designing and building data pipelines. Must have skills Snowflake
and Python Advanced knowledge of Snowflake
Airflow and dbt Monte Carlo or other data observability tools experience a plus Strong knowledge of SQL and experience with data transformation techniques. Excellent problem-solving and analytical skills. Proficiency in extracting and loading data from the following two source applications - Oracle Fusion Cloud (Finance
Supply Chain
Manufacturing)
Salesforce a huge plus Strong communication and collaboration skills. Ability to work independently and as part of a team. Excellent project management and team leadership skills. Strong interpersonal and communication skills to collaborate effectively with business partners cross-functional teams. Strong strategic mindset with the ability to align analytics initiatives with overall business goals and proactively identify

Job Details

Role: Sr. Lead Data Engineer
Experience: 10+

Top Skills:
Airline Revenue Management experience is a must.
AIRLINE DOMAIN IS MANDORY
4 to 6 yrs as Lead
Google Cloud (Google Cloud Platform) that is the preference, but other cloud experience will work.
Programming- Python and C++
Data: Py Spark
Experience with Rally and JIRA is good.

Job Description:
The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline industry.
As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply data mining and machine learning algorithms for advanced analysis and prediction.
You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth.

Responsibilities
Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.