Senior Data Analytics Engineer

Databricks, redshift, Spark, python, Talend, Dell boomi, workato
Full Time
Depends on Experience
Work from home available

Job Description

Senior Data Analytics Engineer:

We're are looking for a hands-on Senior Data Analytics Engineer to join our IT Business Applications team. If you have passion for data and want to help build Liftoff’s next gen data platform that provides actionable insights to drive customer and business outcomes, we’d love to hear from you. You will contribute to the full BI development life cycle, including design, modeling, data migrations, unit testing, performance tuning, deployment activities. 


This role is eligible to work out of one of our below North America office locations:

US office locations: Redwood City (HQ), San Francisco

What you’ll do:

  • Lead the architecture, design, and implementation of the next-generation data platform.
  • Understand complex business requirements, create simplified technical designs and translate that into technical specifications.
  • You can single-handedly build highly scalable end-to-end data ingestion pipelines using different open source tools and operationalizing them.
  • Build infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud based relational or non-relational databases employing ETL tools and/or scripting languages like Perl/Python and streaming technologies.
  • Build and deploy dashboards using one or more visualization tools such as Tableau, Looker
  • Define optimized DB schemas/semantic layer that power the compelling story-telling dashboards.
  • Work with end-users to optimize queries, design aggregations, and suggest optimizations to keep analytics running smoothly
  • Work with stakeholders including Product, Rev Ops, Finance teams to assist with data-related technical issues and support their data infrastructure needs and build the DW roadmap
  • Use highest level of subject matter expertise to decide on data modeling, data sourcing, data quality, and BI delivery solutions.
  • Monitor, debug and maintain data transformations and pipelinesDefine SLA and acceptable time lags by data source, define QA process, and socialize resolution process to ensure data accuracy and consistency.

What you bring to the team:

  • BA/BS Degree in Computer Science, any Engineering discipline, and 5+ years of experience in relevant Data engineering and Business Intelligence platforms 
  • 2+ years of experience working with user-facing BI modeling layers, such as Looker
  • 3+ years of experience working with Big Data technologies e.g. Spark, Redshift, Databricks, Snowflake
  • Strong understanding of database fundamentals (execution plans, join styles, etc) and ability to tune queries and data structures accordingly
  • Strong communication skills, ability to work collaboratively with various stakeholders in BI, Data Science, and across the business to understand requirements
  • Experience in a second programming language (especially Python) is a plus
  • Advanced SQL; experience with working on large multidimensional data sets, unstructured data.
  • Experience with ETL Tools such as Informatica, Talend, Dell Boomi, Workato
Dice Id : 10410924
Position Id : 7484753
Originally Posted : 1 month ago
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