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Senior Data Engineer

4.00 to 9.00 Years   Hyderabad   01 Nov, 2020
Rubicon Red Software india Pvt Ltd
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaEngineering Design / Construction,General / Other Software
EmploymentTypeFull-time

Job Description

  • Competitive remuneration packages.
  • Be your best self: Everyone is given an opportunity to grow and reach their individual potential.
  • Empowerment: All our staff are empowered to innovate and collaborate, and encouraged to identify and promote best practices and new ways of working, together.
  • Drive your technology passion: Our passion to use technology to drive business success underpins everything we do including agile development, automation and DevOps and delivering cutting edge solutions for our clients.
  • Global opportunities: With offices in Australia and India, and projects all over the world our staff are provided opportunities to travel for work to attend conferences and work on projects.
  • Find your voice: We value our employees ideas, and our approach of fostering regular feedback and our annual employee survey, makes sure everyone has an opportunity to speak up and be heard.
  • Healthy work life balance: We understand how important it is to have a healthy work life balance, we provide opportunities for social and healthy activities, conceived by our Social Masterminds including cricket at lunchtime, yoga, scavenger hunts, team building, team lunches and dinners.
To be successful in this role, you will have:
  • At least 4+ years of experience in the Data Engineering domain
  • Extensive hands-on exposure to popular ETL tools such as Informatica, ODI, Pentaho, etc.
  • Extensive programming knowledge in Python or equivalent language
  • Good hands-on experience with Hadoop frameworks such as Spark, Hive, Hbase, Ganglia, Zeppelin.
  • Diverse experience working with various kinds of data sets such as structured, semi-structured and unstructured with file formats such as Parquet and ORC.
  • Expert knowledge in SQL and associated variants such as Spark SQL, PL / SQL, etc.
  • Decent understanding of modern data platforms such as data lakes, data warehouses, data marts, etc.
  • Deep knowledge in building data pipelines for cleansing, processing, curating and aggregating large data sets in the order of GBs and TBs
  • Decent exposure to at least one BI analytics tool such as Power BI, Tableau
  • Strong data modeling knowledge with an awareness of dimensional modeling techniques
  • Excellent communication and client representation skills
  • Knowledge in AWS data platform technologies such as S3, Glue, Athena, EMR is an added advantage
  • Knowledge in Data Warehouses such as Snowflake and Redshift is an added advantage
,

Keyskills :
client representationpower bidata engineeringetl toolsdimensional modelingapacheanalyticswork life balancedata modelingetldata martscontent managementemailagile developmentteam buildingodisqlcommercial modelsaws

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