Sr. Big Data Engineer

Facile is a professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage.Our organization is built upon our exceptional personnel – this is what sets us apart.

Working with Facile provides you the opportunity to work in a dynamic business environment, for clients located around the world. Our employees are given challenging responsibilities and the chance to grow with the company. Facile is an equal opportunity employer, where personnel are nurtured, grown and empowered. We offer unparalleled benefits and perks, along with an industry standard salary package.

Our passion towards excellence is what drives to achieve outstanding results. If you share this drive, get in contact with us today.

Sr. Big Data Engineer

Job Description

Job Overview

We are looking to hire a talented big data engineer to develop and manage our company’s Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the production system.

To ensure success as a big data engineer, you should have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. A top-notch Big Data Engineer understands the needs of the company and institutes scalable data solutions for its current and future needs.

Big Data Engineer Responsibilities

• Meeting with managers to determine the company’s Big Data needs.
• Developing big data solutions on AWS, using Apache Spark, Databricks, Delta Tables, EMR, Athena, Glue, Hadoop, etc.
• Loading disparate data sets and conducting pre-processing services using Athena, Glue, Spark, etc.
• Collaborating with the software research and development teams.
• Building cloud platforms for the development of company applications.
• Maintaining production systems.

Big Data Engineer Requirements

• 5+ years of experience as a big data engineer.
• Must be proficient with Python & PySpark.
• In-depth knowledge of Hadoop, Apache Spark, Databricks, Delta Tables, AWS data analytics services.
• Must have extensive experience with Delta Tables, JSON, Parquet file format.
• Must have experience with AWS data analytics services like Athena, Glue, Redshift, EMR.
• Familiarity with Data warehousing will be a plus.
• Must have Knowledge of NoSQL and RDBMS databases.
• Good communication skills.
• Ability to solve complex data processing, transformation related problems.