We are looking for a savvy Data Engineer to join our growing team of analytics experts. This position 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 candidate is an experienced data pipeline builder and data warehouse wrangler. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be 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 our company’s data architecture to support our next generation of products and data initiatives.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create and maintain optimal data pipeline architecture,
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources into SQL based database on a cloud service (AWS or Google Cloud).
SQL batch job automation / management / testing
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Work with data and analytics experts, and database admin team to strive for greater functionality in our data systems.
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 data pipelines, architectures and data sets.
Experience building in SQL batch automation and its testing
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.
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, with bachelor’s degree or higher in a relevant technical field.
Experience with data management platform: PostgreSQL, BigQuery, etc..
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with cloud services: AWS or Google Cloud
Competence in at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, Ruby, etc.
Knowledge of real time streaming library (Flink / Spark / Storm)
Experience in developing ETL pipeline (MapReduce / Spark)
Interested in machine learning
Knowledge of hadoop / data warehouse / big data technologies