Full Job Description
Education:
B-Tech or BE in any engineering discipline, or MCA, from Tier 1-2 college
Required Experience:
Data engineering/ data Lake experience using cloud (preferably AWS, but Azure/GCP is also ok)
Good expertise in ETL principles and practices, databases, SQL (e.g. IICS,Talend, PowerBI, Matillion, SageMaker, PL/SQL, PostGre, HBase)
Connect to databases, users and permissions setup, backup, management of workflows, and data sharing among flows
Experience of working with teams and using collaboration tools like GIT, Jira and Confluence
Leads and Managers must have relevant experience in managing teams/people
Good to have Add-on experience
Data Engineering / Analytics technologies like Spark with Scala, PySpark, Data visualization, Python, Data Orchestration, Feature Engineering
Experience to use Jupiter Notebooks, Python libraries like pandas, numpy, scikit-learn etc.
Dataiku DSS (Data Science Studio) will be ideal with the knowledge of Dataiku features and implementation, DSS update, backup, migration of DSS instances, management of workflows, and data sharing among flows
Alteryx/ Knime/ Snowflake will also be considered
Experience in implementing robust software applications using natural language processing, machine learning on structured and unstructured data, and information retrieval in R and/or Python will be good to have
Knowledge/ experience of working with Docker containers
If interested please share below details with CV
Total experience
CTC
ECTC
Notice –
Location preference –
Interview Process -Test & 2 Rounds of interview
Role:Data Engineer
Salary: Not Disclosed by Recruiter
Industry:IT Services & Consulting
Functional Area:Data Science & Analytics
Role Category:Data Science & Machine Learning
Employment Type:Full Time, Permanent
Key Skills
snowflakeData EngineerAWSRedshiftPythonSQL
Education
UG:B.Tech/B.E. in Electronics/Telecommunication, Computers
PG:MCA in Computers