Your Career in Cloud and Big Data starts here.

We are hiring. Now!

Your Career in Cloud and Big Data starts here.

We are hiring. Now!


Cloud Engineer

CaBD is looking to hire the best in the industry at architecting, developing, administrating and implementing cloud and mobility engineers for our reputed customers. Once hired, you will enter CaBD's industry leading hands-on boot camp where you will be trained by industry experts and receive professional certification on Amazon AWS and Microsoft Azure platforms.



Big Data Engineer

CaBD Data Engineers are the best in the industry at developing, architecting, engineering and operating modern data and analytic platform’s at scale. Once hired, you will enter CaBD’s industry leading hands-on boot camp where you will be trained by industry experts and receive professional certification on Hadoop
(Cloudera, Hortonworks, & MAPR), Cassandra, Apache Spark.


Training and Certification Objectives for Cloud Developer:

  • AWS services and operations
  • Create / configure each service
  • Real time scenarios on high availability & auto scaling
  • Monitoring AWS services
  • Big data & Analytic's
  • Automation's using Java SDK/ AWS CLI
  • Day to day cloud operations & maintenance of applications & services.

Training and Certification Objectives for Spark:

After completing the Apache Spark & Scala course, you will be able to:

  • Understand Scala and its implementation
  • Apply Control Structures, Loops, Collection, and more.
  • Master the concepts of Traits and OOPS in Scala
  • Understand functional programming in Scala
  • Get an insight into the big data challenges
  • Learn how Spark acts as a solution to these challenges
  • Install Spark and implement Spark operations on Spark Shell
  • Understand the role of RDDs in Spark
  • Implement Spark applications on YARN (Hadoop)
  • Stream data using Spark Streaming API
  • Implement machine learning algorithms in Spark using MLlib API
  • Analyze Hive and Spark SQL architecture
  • Implement SparkSQL queries to perform several computations
  • Understand GraphX API and implement graph algorithms
  • Implement Broadcast variable and Accumulators for performance tuning

Training and Certification Objectives for Cloud Architect:

On completion of the AWS Certification course learner will be able to:

  • Design and deploy scalable, highly available, and fault tolerant systems on AWS
  • Understand lift and shift of an existing on-premises application to AWS
  • Ingress and egress of data to and from AWS
  • Identify the appropriate AWS service based on data, compute, database, or security requirements
  • Identifying appropriate use of AWS architectural best practices
  • Estimating AWS costs and identifying cost control mechanisms

Training and Certification Objectives for Hadoop:

  • Master the concepts of HDFS and MapReduce framework
  • Understand Hadoop 2.x Architecture
  • Setup Hadoop Cluster and write Complex MapReduce programs
  • Learn data loading techniques using Sqoop and Flume
  • Perform data analytics using Pig, Hive and YARN
  • Implement HBase and MapReduce integration
  • Implement Advanced Usage and Indexing
  • Schedule jobs using Oozie
  • Implement best practices for Hadoop development
  • Work on a real life Project on Big Data Analytics

Apply For a Job


CaBD is constantly in search of the next great mind that also possess the technical skills to make visions a reality. Our corporate culture embraces an innovative and supportive environment that produces innovative thinking. As a result, we generate new and better ways to accomplish goals every day. We are always accepting resumes from qualified candidates interested in joining our team.

Fill out the form, or send your resume and cover letter to or call 1 (888) 219-7041.