Big Data Engineer Lead

Job Requirements:

• 8+ Years of professional experience in the IT Industry
• 6+ Years of professional experience in the Big Data Field
• Bachelors Degree in the Computer Science or related field
• Fluent English (written/spoken)
• Strong knowledge in back-end programming, specifically Python/Scala
• Knowledge on Java platform
• Strong SQL skills and experience in aggregate and window functions, store procedures, views, complex joins, DDL, DML.
• 2+ years of experience in teaching or training.

Skills:

• Able to train/mentor/coach in coding (mandatory python and SQL, java, or C++)
• Demonstrated knowledge of database structures, theories, principles, and practices.
• Analytical and problem-solving skills
• Proven understanding with Hadoop, Spark, Kafka, Hive and NoSQL databases such as HBase, MongoDB
• Good understanding of AWS (S3, glue, athena, EMR, Redshift, Kinesis) or Azure (ADF) or GCP
• Good aptitude in multi-threading and concurrency concepts
• Empathy and service attitude
• Fast paced
• Project Management experience
• Desirable previous international experience (US, Canada, or Europe)
• Leading consultants to grow and create tangible benefits and assets.

Competencies:

⁃ Mentor / Develop / Train consultants

⁃ Orientation to results

⁃ Leadership

Main responsibilities of the position…

• Interviewing potential consultants to ensure all onboarding employees will be successful in Big Data domains prior to each onboarding.
• The design, development, and maintenance of our best-in-class Big Data/Hadoop development training materials
• Training, guiding and mentoring junior to mid-level developers.
• Preparing mock interview situations to enhance the esteemed learning process provided by the company.
• Acting as a primary resource for individuals working on a variety of projects throughout the US
• Interacting with our Executive and Sales team to ensure that projects and employees are appropriately matched.
• Prepping consultants for interviews for specific assignments involving development and implementation of Hadoop and other environments

Key Responsibilities:

The ideal candidate will not only possess a solid knowledge of Big Data infrastructures, but must also have a fluency in the following areas (allowing for fluid interactions with other team members scattered across the entry to senior level spectrum):

• Hadoop development and implementation
• Strong in Object Oriented Development in Python/Scala/Java platform
• Hands on experience in big data technologies including Scala or Spark, Hadoop, Hive, HDFS.
• Strong SQL skills and experience
• Designing, building, installing, configuring, and supporting Big Data Clusters Spark/Kafka
• Translate complex functional and technical requirements into detail design Implementing ETL process for integration of data from disparate sources.
• Cloud Experience is a plus