Remote Data Engineer

Summary

The job is for a Data Engineer at Kustomer, a conversational CRM platform. The role involves enhancing the data architecture, streamlining data-ingestion processes, providing valuable insights, and ensuring data privacy. The required qualifications include a Bachelor's degree in computer science or equivalent practical experience, and 5+ years of experience in various data-related technologies.

Requirements

• Bachelor's degree in computer science, data engineering, relevant technical field or equivalent practical experience
• 5+ years of experience in all or most of the following: MongoDB architecture, data management and ETL, Relational databases and caches (Redis), BigQuery, data warehouses/virtualization tools, analytical and data visualization products such as Google Data Studio, BigQuery integration with AWS products such as S3, Kinesis and AWS Batch, Cloud environments, especially GCP and AWS, with a focus on the administration, architecture and configuration of relational and nonrelational data stores and the integration of S3 and Kinesis with BigQuery, SQL, MQL, shell scripting, database scripting and ETL processing, Securing data privacy (PII, encryption, regulatory compliance), SRE/observability tools such as Datadog, ELK stack, Coralogix and Sentry, Data governance

Responsibilities

• Grow our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes
• Improve our data-driven product offerings and provide valuable insights that drive strategic product decision-making and help us grow globally
• Parse, analyze and understand data sets
• Work closely with key stakeholders to identify valuable insights that can be realized from the amalgamation of our data and integration of disparate data sources
• Partner with stakeholders to effectively surface and visualize data
• Find anomalies in datasets and debug issues relating to data availability, access, integrity, privacy and security
• Provide proactive oversight of our data pipeline, handle inquiries from internal customers and resolve issues in a timely manner
• Conduct architecture, systems and data reviews across the platform
• Provide education and support to the engineering team in data architecture and design

Benefits

Competitive salaries, stock options, 100% healthcare coverage, 401K, WiFi and Mobile reimbursement, and a generous vacation policy