Data Engineers

Data Engineer We are looking for a Data Engineer to join a strong engineering team focused on CRM & Salesforce platform adoption. This is an opportunity to be part of a team responsible for building a brand new successful, sustainable and strategic CRM product for 3000+ users in the Investment Banking Business. Responsibilities: As a data engineer working in a multi-disciplinary team, you will support building a robust data pipeline to fulfil data movement to/from Salesforce CRM to multiple backends hosted on-premises and in AWS Build robust data models with an eye on optimizing the data platform and reducing complexity and inefficiency in the process Employ best practices when implementing data pipelines, transformations, modelling. Proactively employ modern techniques to debug data issues Work collaboratively with cross functional colleagues to improve data quality and build a cohesive data economy within Client Be a role model in driving data governance, data quality, modern data practices in the work areas you own Qualifications: Deep working knowledge of Informatica Cloud and other cloud ETL tools such as AWS Data Pipelines. Have previously used Salesforce and interacted with its object model Working knowledge of cloud data warehouses, specifically Snowflake Mastery in SQL, data modeling and data warehousing concepts Deep expertise in programming in Python and using data analysis libraries such as Pandas Working knowledge of public cloud platforms such as AWS Experience with Data-ops and CICD Preferred Qualifications: Experience in open source technologies such as Airflow, Beam, Flink, dbt Have used data visualization / analytics tools such as Tableau CRM Worked on event streaming pipelines using Kafka Deep experience in NoSQL and RDBMS such as MongoDB, Cassandra, Postgres, MS SQL Server Experience working in highly regulated environments Keylent Inc