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
