Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
Collect parse analyze and visualize large sets of data
Turn data into insights
Troubleshoot and improve the infrastructure required for optimal extraction transformation and loading of data from a variety of data sources using SQL and AWS big data technologies
Improve systems that handle scale
Implement and support systems that reliably and efficiently provide interactive query performance on large amounts of multimodal data
Qualifications
Expert with large scale data and query optimization techniques
ETL to data warehouse systems
AWS cloud services such as EC2 RDS Redshift Aurpra Postgres
SQL proficiency
Must understand NoSQL and RDBMS
Proficient with multiple scripting languages such as Python
Knowledge of cloud distributed systems and streamprocessing systems
Driven motivated and thrives on new challenges
Enjoys learning from teammates and isnt afraid to teach others at the same time
Must be very optimistic
This is a new industry space your vision could make all the differencE
Enjoys mentoring other developers
Wants to make a lasting impact and lifelong connections this is not just another paycheck
Startup environment experience a plus
Must have:
4+ years of experience in Data Warehousing/Data Lake and Business Intelligence
3+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages: Python, Spark, Scala
4+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark, Kafka, etc
1+ years of strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD
1+ Years of experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra
Nice to have:
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with Data modeling and Datawarehouse projects.
Experience of other any ETL Tool such as Talend, Informatica etc. and visualization tools like Power BI.
