Lead Data Engineer

Industry: Retail
Company size: 10K+

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Job description

A U.S.-based company operating a popular chain of guitar and amplifier stores across the country is looking for a Lead Data Engineer. The engineer will be in charge of the technical architecture, technical standards enforcement, and technical counseling. The company is determined to provide people with the tools they need to create and connect with each other through the power of music. The company has raised $30 mn+ in funding so far.


Job Responsibilities:

  • Take responsibility for modernization, migration/transformation to a cloud data platform
  • Design and develop reliable data infrastructure with leading privacy and security techniques to safeguard data using AWS technologies
  • Architect secure, low latency, resilient and cost-effective solutions for enabling predictive analytics across the organization
  • Design and architect frameworks to operationalize ML models through serverless architecture and support unsupervised continuous training models
  • Work with the team to scale the company’s data models (Tableau, Dynamo DB, Kibana)
  • Communicate data-backed findings to a diverse community of internal and external stakeholders
  • Build frameworks for data ingestion pipeline in both real-time and batch using best practices in data modeling
  • Participate in technical decisions and collaborate with talented peers
  • Review code and give meaningful feedback that assists others in building highly scalable solutions
  • Drive tech direction and choices of technologies by making recommendations based on experience and research

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 10+ years of relevant experience as a data engineer 
  • Solid understanding of ETL/ELT processes 
  • Hands-on experience working in a public cloud environment and on-prem infrastructure
  • Experience in Columnar Databases like Redshift Spectrum, Time Series data stores like Apache Pinot, and the AWS cloud infrastructure
  • Experience with in-memory, serverless, streaming technologies and orchestration tools such as Spark, Kafka, Airflow, Kubernetes
  • Current hands-on experience in IT platform implementation
  • Nice to have experience in AWS Certified Big Data 
  • Experience designing and implementing AWS big data and analytics solutions in large digital and retail environments is desirable
  • Advanced knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas
  • Experience with AWS Cloud Data Lake Technologies and operational expertise with Kinesis/Kafka, S3, Glue, and Athena
  • Experience with any of the message/file formats: Parquet, Avro, ORC
  • Design and development experience on a streaming service, EMS, MQ, Java, XSD, File Adapter, and ESB-based applications
  • Experience in distributed architectures such as Microservices, SOA, RESTful APIs, and data integration architectures
  • Hands-on experience migrating On-Prem data solutions to the cloud
  • Prior experience managing On-prem Enterprise Data Warehouse solutions like Netezza is a plus
  • Expert in commonly used AWS services (S3, Lambda, Redshift, Glue, EC2, etc.)
  • Expertise in Python, PySpark, or similar programming languages 
  • Experience with BI tools (Tableau, Domo, MicroStrategy) is a plus
  • Expertise in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Experience in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Prolific experience in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Experience with AWS Analytics such as Athena, EMR, or Glue
  • Proficiency in Oracle, MYSQL, and Microsoft SQL Server databases is a plus
  • Solid understanding of continuous integration / continuous delivery 
  • Experience in Jenkins
  • Fluent in verbal and written English

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