Data Engineer - ETL and Azure developer

Job Overview

We are looking for a savvy Data Engineer to join our growing team of data engineers. Thehire will be responsible for expanding and optimizing our data and data pipeline architecture,as well as optimizing data flow and collection for cross functional teams. The ideal candidateis an experienced data pipeline builder and data wrangler who enjoys optimizing data systemsand building them from the ground up. The Data Engineer will support our softwaredevelopers, database architects, and data analysts on data initiatives and will ensure optimaldata delivery architecture is consistent throughout ongoing projects. They must be selfdirectedand comfortable supporting the data needs of multiple teams,systems and products.The right candidate will be excited by the prospect of optimizing or even re-designing ourcompany’s data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer

Create and maintain optimal data pipeline architecture,

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

Identify, design, and implement internal process improvements: automating manual

processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data

from a wide variety of data sources using SQL and spark on Azure ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer

acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist

with data-related technical issues and support their data infrastructure needs.

Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

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.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Strong project management and organizational skills.

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

We are looking for a candidate with 5+ years of experience in a Data Engineer role,having experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with relational SQL and NoSQL databases, including Azure SQL, CosmosDB, Couchbase.

Experience with data pipeline and workflow management tools: Azure Data Factory, Synapse Pipeline.

Experience with Azure cloud services: Databricks, Synapse Analytics, Azure Function,

ADLS

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++,Scala, etc.