Big Data

3 months ago

Gurgaon, 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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