Remote Data Engineer - #7463009

Our client is a fast-growing automation-led next-generation service provider delivering excellence in IT, BPO, and consulting services. They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.

Our client’s Digital offerings have helped clients achieve operational excellence and customer delight. Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage. They are now on a journey of metamorphosing the experiences of the customer’s customers by leveraging our industry-leading delivery and execution model, built around the strategy— Automate Everything, Cloudify Everything, Transform Customer Experiences.

Powering our client’s complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client’s business. The digitally empowered workforce of our client represents various nationalities, comprising 19,833 employees, and lives the company’s philosophy of ‘customer success, first and always’. The company reported a 2020 global revenue of USD $845.04 Mn.

We are currently searching for a Remote Data Engineer:

Responsibilities

• Developing Big Data and non-Big Data cloud-based enterprise solutions in PySpark and SparkSQL and related frameworks/libraries.
• Developing scalable and re-usable, self-service frameworks for data ingestion and processing.
• Integrating end to end data pipelines to take data from data source to target data repositories ensuring the quality and consistency of data.
• Processing performance analysis and optimization.
• Collaborate with business users, support team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.
  
  

Requirements

• Databricks, PySpark and Python project development work experience is a must.
• Develop, design, tune and maintain PySpark scripts using Databricks Notebook.
• Expertise in Bigdata Eco systems like HDFS and Spark.
• Experience in GitHuB repository.
• Data Warehouse/Data Marts/Data Modelling/Analytics experience is a must.
• Able to convert the SQL stored procedures to Python code in Pyspark frame work using Dataframes.
• Implementing data ingestion pipelines from multiple data sources using Azure Data Factory, Azure Databricks and other ETL tools.
• Good experience on customer interaction is required.
• Possesses good interpersonal and communication skills.
  
  

Languages

• Advanced Oral English.
• Native Spanish.
  
  

Note:

• Fully remote.
  
  

If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/.