Job Description

Duties: Expert ETL Data Engineer is responsible for building data pipelines, data warehouse solutions, and analytics processing tools to democratize data; Design and develop foundational components of the BI platform which includes Data Engineering, Data Quality, and Data Catalog framework; Partnering with Program Managers, Subject Matter Experts, Architects, Engineers, and Data Scientists across the organization where appropriate to understand customer requirements, design prototypes, and optimize existing data services/products; Design and maintain data warehouse solutions that allow for large-scale analytics processing; Build scalable ETL data pipelines, ingesting high volume of data from internal and external sources; Build and maintain Data Engineering solutions that support self-service BI Platform, partnering with BI Engineers to deliver end to end solutions; Work closely with product teams to understand business success criteria, translate business needs into technical requirements, worked with other Data Engineers and enable project success; Ability to develop high performing data engineering team with an inspiring leadership style; Curious, detail oriented, and highly motivated self-starter. Able to work independently and with the team to formulate innovative solutions; Troubleshoot and resolve data, system, and performance issues; Participant in production support on-call rotation. May telecommute.

Qualifications

Requirements: Employer will accept a Bachelor's degree in Computer Science, Electronics Engineering or related field and 7 years of experience in the job offered or in a Database Developer -related occupation. Position Requires:

1. Experience in Data Engineering development and support for technology industry and public sector
2. Experience in building highly scalable Big Data solutions using Apache Hadoop, Spark, and Kafka
3. Experience in handling petabyte-scale data and optimizing ETL processes for performance and cost-efficiency
4. Experience in programming languages like SQL and Python for data analysis, machine learning model development, and automation scripts
5. Experience with AWS ecosystem, including designing data lakes on S3, running ETL jobs on EMR, and managing data warehouses on Redshift
6. Experience with BI tools such as Tableau and Alteryx for creating interactive dashboards, performing advanced data analytics, and generating business insights

Additional Information

Pay range for this role is $183,851.00-$202,276.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://smrtr.io/zwLX8