Tiger Analytics

Senior Data Engineer

Tiger Analytics$120K — $145K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in application/data engineering using Python and SQL.
  • 5+ years of experience with a major cloud platform: AWS, GCP, or Azure.
  • 5+ years of experience in distributed data processing technologies like Spark, Kafka, or Hadoop.
  • 5+ years of experience in building real-time data and streaming applications.
  • 5+ years of experience with cloud data warehouses like Snowflake, Databricks, or Redshift.
  • 5+ years of data modeling experience for data warehousing and analytics.
  • Strong problem-solving and communication skills, able to lead technical discussions.

Responsibilities

  • Lead the design and development of scalable batch and real-time data pipelines.
  • Design and implement data solutions on cloud platforms such as AWS, Azure, or GCP.
  • Build high-volume data processing solutions using technologies like Spark, Kafka, or Hadoop.
  • Develop and optimize real-time and event-driven streaming applications.
  • Design data models and structures for enterprise data warehouses.
  • Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
  • Collaborate with various teams to translate requirements into scalable solutions.

Benefits

  • Significant career development opportunities in a fast-growing environment.
  • High degree of individual responsibility in projects.
Full Job Description
Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:
  • 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

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 Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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