Required Skills

Data analysis Data management Consulting SMS Data processing Workflow Scheduling Analytics CRM SQL

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Aug 2022


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. 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: Bachelors Degree, Masters Degree.
  • Field specialization: Computer Science.
  • Degree: Bachelor of Engineering - BE, Bachelor of Science - BS, Master of Engineering - MEng, Master of Science - MS

Company Information