Job Details

Senior Data Engineer

What You’ll Do

As a Senior Data Engineer you will:

Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives 

Serve in a lead capacity on client initiatives

Ensure optimal data delivery architecture is consistent throughout ongoing projects 

Be self-directed and comfortable supporting the data needs of multiple teams, systems and products 

Be excited by the prospect of building our company’s data engineering capabilities to support our next generation of products and data initiatives for our clients

Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients 

Assist in defining client solutions and support managing their delivery

What We’re Looking For

Strong experience in building modern data platforms that leverage Azure Data Lake, Azure Data Factory and Azure Databricks

Should be proficient in PySpark, Python and SQL

Highly prefer skills in designing, developing, and implementing data engineering solutions using Databricks on cloud platforms

Strong experience designing data models that meets business needs that meets design guidelines and standards is a must

Assembling large, complex data sets that meet functional/non-functional business requirements 

Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies

Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics 

Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

3+ years of experience in a Data Engineer role

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets 

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement 

Strong analytic skills related to working with unstructured datasets 

Build processes supporting data transformation, data structures, metadata, dependency and workload management 

A successful history of manipulating, processing and extracting value from large disconnected datasets 

Experience supporting and working with cross-functional teams in a dynamic environment 

Demonstrated ability with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka 

Expertise with Azure or AWS cloud services 

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field