Senior Data Engineer

  • Los Angeles, CA
  • Posted 8 days ago | Updated 8 days ago

Overview

Hybrid
Up to $140,000
Full Time

Skills

Solution Selling
Practice Development
Data Engineering
Data Modeling
SQL Performance
Query Optimization

Job Details

The Sr. Data Engineer will contribute to the Company s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs & metrics. Collaborating across disciplines, they will identify internal / external data sources, design table structures, define ETL strategy & implement automated Data Quality checks.

Must have skills:

  • Data Engineering skills using -

    • Complex or Advanced SQL queries

    • Python

    • Spark

    • Snowflake

    • Databricks

    • Airflow or Prefect

  • Experience with at least one cloud platform (AWS / Azure / Google Cloud Platform)

Nice to have skills:

  • Experience working with Kafka

  • Familiarity with tools like Datorama / Improvado / FiveTran for integrating, harmonizing, and visualizing data across platforms.

  • Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, etc.) & Docker containers

  • Exposure to monitoring tools like Datadog

Roles & Responsibilities

Responsibilities:

  • Partner with technical and non-technical colleagues to understand data and reporting requirements

  • Work with engineering teams to collect required data from internal and external systems

  • Design table structures and define ETL pipelines to build performant data solutions that are reliable and scalable in a fast growing data ecosystem

  • Develop automated data quality checks

  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow

  • Implement database deployments using tools like SchemaChange

  • Perform ad hoc analysis as necessary.

  • Perform SQL and ETL tuning as necessary.

Basic Qualifications

  • 5+ years of relevant data engineering experience.

  • Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.

  • Good understanding of SQL Engines and able to conduct advanced performance tuning.

  • Ability to think strategically, analyze and interpret market and consumer information.

  • Strong communication skills written and verbal presentations.

  • Excellent conceptual and analytical reasoning competencies.

  • Comfortable working in a fast-paced and highly collaborative environment.

  • Familiarity with Agile Scrum principles and ceremonies

Preferred Qualifications:

  • Bachelor s/Master s degree in Computer Science, Engineering, or related field.

  • Strong analytical and problem-solving skills.

  • Effective communication and teamwork abilities.

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About Efovinity Inc