Data Engineer

at  Stratpoint Technologies Inc

WHO WE ARE

We are trusted modern technology leaders in:

• Agile Software Development
• Quality Assurance
• Cloud Consulting and Managed Services
• Data Engineering and Analytics
• Artificial Intelligence and Machine Learning

We use technology to enrich experiences, empower businesses, and uplift communities.

ABOUT YOU

• Years of Experience: 4-6 years of experience in IT project delivery or data development delivery particularly in Data Warehousing or Business Intelligence
• Graduate of any IT related courses like BS Computer Science, Information Technology or the likes
• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
• Proficiency in Python, R, Java, Scala is a plus
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus
• AWS data integrations (Glue, Athena)
• Spark, Databricks
• Delta lake, Data Lake
• Kafka, Confluent, Real-time processing, Data Streaming
  The requirements listed in this job description are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark of what we are looking for, we encourage you to submit an application. We look forward to getting to know you more!
  Job Types: Full-time, Permanent

Benefits:

• Company events
• Health insurance
• Paid training
• Work from home

Schedule:

• 8 hour shift

Supplemental Pay:

• 13th month salary

THE ROLE

The role involves defining and maintaining development practices and standards to improve software delivery speed and quality. Key responsibilities include collaborating with different stakeholders to evaluate and document business and data models, while also assessing tools and technologies to optimize costs and performance.

YOUR RESPONSIBILITIES

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
• Ensures data quality within the data warehouse tables
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
• Supports L2 Data Operations team and act as L3 support
• Manage data storage, computing unit requirements, and data security within the data warehouse
• Gather data requirements coming from Tribe demands
• Supports other data engineers on other Tribes or domains if necessary
• Demonstrate technical excellence when it comes to the data warehouse platform
• Supports stakeholders of the data warehouse platform by solving data related issues and conducting data investigations
• Data Delivery Documentations – Data Dictionary, Data Mapping Documents, Data Models
• Optimize Data Pipelines
• Project delivery and operations support