dots-iton

Data Engineer

Job Id: DE001
Eligibility:
4 to 6 years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming

bg-image
bg-image

As a data engineer at Saras Analytics, you will be responsible for building and maintaining large-scale data pipelines as well as create and data pipelines that deal with large volumes of data. 

Primary Responsibilities: 

  • Experience in Database programming using multiple flavor of SQL and Python 
  • Understand and translate data, analytic requirements and functional needs into technical requirements  
  • Build and maintain data pipelines to support large scale data management projects 
  • Ensure alignment with data strategy and standards of data processing  
  • Deploy scalable data pipelines for analytical needs 
  • Experience in Big Data ecosystem – on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight) 
  • Experience in Hadoop, Pig, SQL, Hive, Sqoop and SparkSQL 
  • Experience in any orchestration/workflow tool such as Airflow/Oozie for scheduling pipelines 
  • Exposure to latest cloud ETL tools such as Glue/ADF/Dataflow 
  • Understand and execute IN memory distributed computing frameworks like Spark (and/or DataBricks) and its parameter tuning, writing optimized queries in Spark 
  • Hands-on experience in using Spark Streaming, Kafka and Hbase 
  • BE/BS/MTech/MS in computer science or equivalent work experience. 
  • 4 to 6 years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming 

Additional Responsibilities: 

  • Exposure to 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 variety of internal and external sources 
  • Experience in building structured and unstructured data pipelines 
  • Proficient in programming language such as Python/Scala 
  • Good understanding of data analysis techniques 
  • Solid hands-on working knowledge of SQL and scripting 
  • Good understanding of in relational/dimensional modelling and ETL concepts 
  • Understanding of any reporting tools such as Looker, Tableau, Qlikview or PowerBI 

Educational qualifications preferred 

  • Category: Bachelor’s Degree, Master’s Degree 
  • Field specialization: Computer Science 
  • Degree: Bachelor of Engineering – BE, Bachelor of Science – BS, Master of Engineering – MEng, Master of Science – MS 
×
-