Data Engineer

Role - Data Engineer

Description :

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction transformation and load (ETL) work along with traditional Enterprise Data Warehousing (EDW) work.

Responsibilities :

Participates in the analysis and development of technical specifications programming and testing of Data Engineering components.

Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed. Assist with updating the enterprise standards when gaps are identified.

Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer BI Architect and Architectural team.

Responsible for assisting in configuration and scripting to implement fully automated data pipelines stored procedures and functions and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce) where data may be consumed by end customers.

Follows standard change control and configuration management practices.

Participates in 24-hour on-call rotation in support of the platform.

Required Skills / Qualifications :

Database Platforms : Snowflake Oracle and SQL Server

OS Platforms : RedHat Enterprise Linux and Windows Server

Languages and Tools : PL / SQL Python T-SQL StreamSets Snowflake Cloud Data Platform and Informatica PowerCenter Informatica IICS or IDMC.

Experience creating and maintaining ETL processes that use Salesforce as a destination.

Drive and desire to automate repeatable processes.

Excellent interpersonal skills and communication as well as the willingness to collaborate with teams across the organization.

Desired Skills / Qualifications :

Experience creating and maintaining solutions within Snowflake that involve internal file stages procedures and functions tasks and dynamic tables.

Experience creating and working with near-real-time data pipelines between relational sources and destinations.

Experience working with StreamSets Data Collector or similar data streaming / pipelining tools (Fivetran Striim Airbyte etc...).

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1