Senior Data Engineer

Tiger Analytics
Richmond, VA, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Cloud Database Cloud Engineering Software Quality Information Engineering Data Systems Data Warehousing Distributed Computing Environment Distributed Systems
+14 more
Apache Hadoop MapReduce Python (Programming Language) SQL Databases Data Processing Snowflake Apache Spark Electronic Medical Records Real Time Data Apache Kafka Data Management Data Pipelines Amazon Redshift Databricks

Job description

  • Lead the design and development of scalable batch and real-time data pipelines using Python and SQL.
  • Design and implement data solutions on AWS, Azure, or GCP.
  • Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies.
  • Develop and optimize real-time and event-driven streaming applications.
  • Design data models and structures supporting enterprise data warehouses and analytics platforms.
  • Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift.
  • Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost efficiency.
  • Lead technical discussions, design reviews, and provide guidance to other data engineers.
  • Collaborate with architects, product teams, application developers, and business stakeholders to translate requirements into scalable data solutions.
  • Establish engineering best practices around code quality, testing, deployment, monitoring, and data quality

Requirements

  • 10+ years of experience in application/data engineering using Python and SQL.
  • 5+ years of experience working with at least one major public cloud platform: AWS, GCP, or Azure.
  • 5+ years of experience with distributed data processing technologies such as Spark, Kafka, Hadoop, EMR, MapReduce, or equivalent.
  • 5+ years of experience building and supporting real-time data and streaming applications.
  • 5+ years of experience with cloud data warehouses/platforms such as Snowflake, Databricks, or Redshift.
  • 5+ years of experience with data modeling for data warehousing and analytics.
  • Strong understanding of data engineering, distributed computing, data pipelines, and cloud architecture.
  • Strong problem-solving and communication skills with the ability to provide technical leadership.

Benefits & conditions

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

About the company

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

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Good distractions

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