As part of the Customer Experience & Success team you will keep the customer at the center of everything we do. Empower customer to prevent and resolve issues. Help customers quickly when they need expertise. Advise customers how to achieve more.

Key responsibilities include:
Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
Enthusiasm and strong desire to learn and grow within the organization.
Demonstrate strong analytical, organizational, and problem-solving skills.
Strong focus on long-term strategy, application stability, refactoring, and re-usability.
Analyzes and designs technical solutions to address business needs.
Develops, tests, and modifies software to improve efficiency of data platforms and applications.
Identifies, investigates, and proposes solutions to technical problems.
Coordinate with data operations teams to deploy changes into production.
Serve in the goalie rotation to support Test, QA, and Production environments.
Other duties as assigned

Qualifications:
Must-have’s
Requires a bachelor's in computer science, Computer Engineering, or related field.
Experience with Data Warehousing, data technologies and ETL solutions.
3+ years of experience in ETL, SQL, UNIX/Linux scripting, and Big Data distributed systems.
3+ years of experience in programming languages like Python, orchestration tools and processes.
Experience in building ETL pipelines using Python pandas
Exposure in RDD’s with Python/Scala using Spark framework.
Extensive experience in data migration, data analysis, data transformations, conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning.
Experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects.
Experience working with Greenplum, Oracle, SQL Server, DB2, Teradata, Hive and delimited text files would be helpful.

Preferred skill:
Experience working with cloud or on-prem Big Data/MPP analytics platform like Google BigQuery, Azure Data Warehouse, or similar
Experience with designing and implementing real-time ETL pipelines
Experience with data pipeline automation and CI/CD tools like Jenkins
Hands on experience with Git version control processes, data streaming technologies such as Kafka, and unstructured data handling preferred.