Lead Data Engineer

Industry: Ecommerce
Remote
Company size: 251-10K
Full-time
Not disclosed

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Job description

A US-based company building a robust and comprehensive online platform that enables users to shop for organic food products is looking for a Lead Data Engineer. The selected candidate will be tasked with implementing state-of-the-art methods to work implementing data mining techniques across the platform. The company provides customers with a wide range of organic food, wellness, and household products at an affordable price. They have managed to secure $200mn+ in funding so far. This role requires 6-8+ hours overlap with the PST time zone. 

  

Job Responsibilities:

  • Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in collaboration with various functional teams
  • Take ownership of the entire data services life cycle, from data ingestion to data processing and ETL to data delivery for reporting
  • Collaborate with other technical teams to deliver data solutions that meet both business and technical needs
  • Define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts
  • Identify, troubleshoot, and resolve issues with production data integrity and performance
  • As the lead, collaborate with all aspects of data management to ensure that patterns, decisions, and tooling are implemented in accordance with enterprise standards
  • Conduct data source gap analysis and develop data source/target catalogs and mappings
  • Develop a thorough understanding of cross-system integration, interactions, and relationships in order to create an enterprise view of future data requirements
  • Design, coordinate, and carry out pilots/prototypes/proofs-of-concept to validate specific scenarios and provide an implementation roadmap
  • Recommend/ensure technical functionality for Data Engineering (e.g., scalability, security, performance, data recovery, reliability, and so on)
  • Organize workshops to define requirements and design data solutions
  • Decisions about enterprise and solution architecture should be applied to data architecture frameworks and data models
  • Keep track of all data architecture artifacts and procedures in a repository
  • Collaborate with IT teams, software providers, and business owners to forecast and design data architecture 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3-5+ years of relevant experience as a software engineer
  • Knowledge of data architectures, data pipelines, real-time processing, streaming, networking, and security is required
  • Programming experience in Python, Scala, or Java is required
  • RDBMS and Data Warehousing (Strong SQL) experience with Redshift, Snowflake, or similar
  • Expertise in logical/physical data architecture, design, and development experience implementing a data lake / big data analytics platform, either cloud-based or on-premise- AWS preferred
  • Extensive knowledge of development tools for CI/CD, unit and integration testing, automation, and orchestration, such as GitHub, Jenkins, Concourse, Airflow, and Terraform
  • Experience writing Kafka producers and consumers, or knowledge of AWS Kinesis
  • Hands-on experience building a distributed data processing platform using Big Data technologies such as Hadoop, Spark, and others
  • Have a talent for independence (hands-on) as well as teamwork 
  • Excellent analytical and problem-solving skills, particularly in the face of ill-defined issues or conflicting information
  • Experience with streaming data ingestion, machine learning, and Apache Spark would be advantageous
  • Capable of eliciting, gathering, and managing requirements in an Agile delivery environment
  • Excellent communication and presentation skills (verbal, written, and presentation) at all organizational levels
  • Capability to convert ambiguous concepts into concrete ideas

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