SASKEN IS HIRING: DATA ANALYTICS-ENGINEER

 SASKEN IS HIRING: DATA ANALYTICS-ENGINEER

SASKEN: DATA ANALYTICS-ENGINEER

Eligibility:

• Engineering graduate, MCA, etc
• Experience: 0-2 years
• Languages-
  Python, R, Spark,Scala, SQL
• Platforms-
  AWS, Azure , GCP
• Tools-
  MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview

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ENGINEER - DATA ANALYTICS

Date:  8 Jan 2024

Location:  IN

Company:  Sasken Technologies Limited

Job Summary

• Person at this position is able to apply broad knowledge of their technical discipline or advanced knowledge of specific technical practices.

• Person identifies problems in existing systems and modifies it by following defined work procedures.

• Operationally oriented role responsible for achieving day to day defined tasks.

• Works under close supervision of Team Lead/ Project Manager.

Roles & Responsibilities

• Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals.

• Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes.

• Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. 

Education and Experience Required

Engineering graduate, MCA, etc

Experience: 0-2 years

Competencies Description

Data engineering TCB is applicable to one who 1) Creates databases and storage for relational and non-relational data sources 2) Develops data pipelines (ETL/ ELT) to clean , transform and merge data sources into usable format 3) Creates reporting layer with pre-packaged scheduled reports ,  Dashboards and Charts for  self-service BI 4) Has experience on cloud platforms such as AWS, Azure , GCP in implementing data workflows 5) Experience with tools like MongoDB, Hive, Hbase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch etc.

Platforms- 

AWS, Azure , GCP

Technology Standard- 

NA

Tools- 

MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview

Languages- 

Python, R, Spark,Scala, SQL

Specialization- 

DWH, BIG DATA ENGINEERING, EDGE ANALYTICS