Data Engineer Job in Beeu Infotech Pvt Ltd.

Data Engineer

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Job Summary

The responsibilities are detailed as below:

Build & maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards

Experience in designing efficient and robust ETL workflows

Experience in Database programming using multiple flavors of SQL

Deploy scalable data pipelines for analytical needs

Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight)

Worked on query languages/tools such as Hadoop, Pig, SQL, Hive, Sqoop, and SparkSQL.

Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines

Scheduling and monitoring of Hadoop, Hive, and Spark jobs

Basic experience in cloud environments (AWS, Azure, GCP)

Understanding of IN memory distributed computing frameworks like Spark (and/or DataBricks) and its parameter tuning, writing optimized queries in Spark

Experience in using Spark Streaming, Kafka and Hbase

Experience working in an Agile/Scrum development process

PREFERRED QUALIFICATIONS

Exposure to the latest cloud ETL tools such as Glue/ADF/Dataflow is a plus

Expertise in data structures, distributed computing, manipulating and analyzing complex high-volume data from a variety of internal and external sources

Experience in building structured and unstructured data pipelines

Proficient in a programming language such as Python/Scala

Good understanding of data analysis techniques

Solid hands-on working knowledge of SQL and scripting

Good understanding of relational/dimensional modeling and ETL concepts

Understanding of any reporting tools such as Tableau, Qlikview or PowerBI

Qualification: BE/BS/MTech/MS in computer science.
Experience: 2 to 6 years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming.

Experience Required :

2 to 6 Years

Vacancy :

10+ Hires

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