Big Data
2 months ago
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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