Description

You will design and build data pipelines and ETL/ELT processes to prepare data for analytics.

This role is on-site.

Responsibilities

• Integrate data from various sources and create or maintain efficient data models.
• Ensure data quality, security, and compliance through validation and best practices.
• Monitor and optimize data processing jobs and databases for performance.
• Collaborate with stakeholders to define and meet data requirements.
• Maintain and operationalize existing data solutions.

Required Skills

• 6+ years of experience designing and developing end-to-end big data solutions.
• Experience with Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch.
• Strong application development experience in Scala or Python.
• Strong SQL database experience, preferably with Redshift.
• Proficiency in Python for data engineering and automation.
• Experience with Big Data platforms, including Hadoop and Spark.
• Experience with relational databases such as Oracle, MySQL, or PostgreSQL.
• Experience with ETL/ELT processes and frameworks.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• 3 years tenure in previous relevant roles.

Key Skills

Education

Bachelor's degree