Big Data

3 months ago

gurugram, India Myananta Technologies Full time

At Myananta Technologies, we’re looking for a Big Data (Hadoop). The ideal candidate is excited by experimentation and looking for a new challenge that stretches their talents.  


Job description


Full-Time Big Data (Hadoop) Developer

Myananta Technologies | Gurugram is hiring for “Big Data (Hadoop) Developer”


Experience : 3 - 5 Years.

Salary : 5.0 - 12.0 LPA.

Skills : Hadoop, Hive, Spark, Airflow, Python, Java, Scala, Data warehouse, Data lake.

Location : Gurgaon.


Responsibilities


  • Installation and configuration of Big Data Technologies/Tools (such as Hadoop, Hive, Spark, Data Lake,.. etc.).
  • Extensive experience in Big Data ecosystem and its various components such as Hadoop, MapReduce, Spark, Spark SLQ, Hive, ZooKeeper, Airflow.
  • Knowledge on Hadoop architectural components like HDFS distributed file system, Name Node, Data Node, Task Tracker, Job Tracker, and MapReduce programming.
  • Good knowledge of workflow orchestration tools, such as Apache Airflow design and deploy Directed Acyclic Graphs (DAGs).
  • Worked on Spark core transformation and actions along with RDD and Dataset API.
  • Knowledge of slowly changing dimensions on Hive Data warehouse.
  • Experience in deploying Big Data clusters on AWS EC2 instances and other similar clouds.
  • Develop and implement pipelines that extract, transform, and load data into an information product that helps the organization reach its strategic goals.
  • Focus on ingesting, storing, processing, and analyzing large datasets.
  • Create scalable, high-performance web services for tracking data.
  • Translate complex technical and functional requirements into detailed designs.
  • Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions.
  • Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies.
  • Analyze source and target system data. Map the transformation that meets the requirement.
  • Conduct performance and scalability tuning.


Qualifications


  • Bachelor’s/Master’s degree in Computer Science or IT (or equivalent experience).
  • Experience with Hadoop, Spark, Hive, and Airflow.
  • Understanding of data-warehousing and data-modeling techniques.
  • Knowledge of industry-wide visualization and analytics tools.
  • Strong data engineering skills with AWS cloud platform (and similar clouds).
  • Knowledge of streaming frameworks such as Kafka or Spark streaming.
  • Knowledge of Core Java, Scala, and Python (mandatory) language. 
  • Knowledge of Linux, SQL, and any scripting language.
  • Good interpersonal skills and positive attitude.

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