Data Engineer

  • Delhi
  • Private
  • 10 lac to 20 lac
  • Deadline: Feb 25, 2024
Job information

Category

Experienced

Open Positions

3

Experience

3 to 6

Work shift

Day

Employment Status

Permanent

Deadline

Feb 25, 2024

Job description

Job Details Role: Data Engineer Location: Gurgaon - Sector 44 (Work from Office) Experience: 3-7 Years Qualifications for Data Engineer 3+ Years of experience in building and optimizing 'big data' solutions required to fulfill business and technology requirements. 3+ years of technical expertise in areas of design and implementation using big data technology Hadoop, Hive, Spark, Python/Java. • Strong analytic skills to understand and create solutions for business use cases. • Ensure best practices to implement data governance principles, data quality checks on each data layer. • A successful history of manipulating, processing and extracting value from large disconnected datasets. • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. • Strong project management and organizational skills. • Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tool- • Experience with big data tools: Hadoop, Hive, Spark, Kafka, Airflow. • Experience with relational SQL and NoSQL databases: MySQL, Postgres and Cassandra. • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. • Experience with AWS/Azure cloud services: EC2, EMR, RDS, Redshift, HDInsights, DataLake, DataBricks • Experience with stream-processing systems: Storm, Spark-Streaming, etc. • Experience with object-oriented/object function scripting languages: Java, Python, Scala, etc.


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