Analyze large amounts of business data, solving real world problems, and developing metrics and business cases enabling Business Insights.
Design, implement and support analytical data infrastructure and knowledge of Modern Data Warehouse concepts.
Build and maintain efficient and scalable data pipelines and ETL processes.
Optimize data storage and retrieval methods for performance, scalability, and cost-efficiency.
Manage AWS resources including EC2, S3, Glue, Lambda, API’s, IAM, Cloud Watch.
Interface with other technology teams to extract, transform, and load data using SQL and AWS big data technologies.
Collaborate with Data Scientists and Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis.
Maintain internal reporting platforms/tools including troubleshooting and development.
Interact with internal users to establish and clarify requirements for report specifications.
Work with Engineering partners to shape and implement the development of BI infrastructure, including Data Warehousing and reporting.

Bachelor's degree in Computer Science, Information Technology, or a related field.
3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.
AWS Glue, Lambda, S3, EC2, CloudWatch, Cloud Trail.
Dbt, Snowflake, SQL, Python, Qlik.
Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.
Experience with NoSQL databases, such as MongoDB, Cassandra, or DynamoDB.
Strong programming skills in Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.
Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase.
Familiarity with data orchestration tools, such as Apache Airflow.
Experience with data versioning and testing tools, such as DVC and dbt.
Understanding of data security practices, including encryption, access controls, and data masking.

Comprehensive array of benefits designed to enhance well-being and professional growth.
Robust health insurance plans, including Medical, Dental, and Vision coverage.
401(k) Retirement Plan with a $1 for $1 Company Match up to 5%.
Paid Parental Leave and Associate Assistance Plan for essential support.
Education Assistance Program.
Up to $30,000 in Adoption Assistance.
Up to three weeks of vacation annually.
Generous Holiday, Sick Leave, and Personal Day policies.
New Hire Referral Bonus Program.
Significant Home Purchase Discounts.
Unique opportunities such as Everyone’s Included Day.

Data Engineer II

Key skills