121124 Data Engineer 09 Data&AI
IDP01 - DGS-Campus Ph1, India
DXC Technology
DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds.Job Description:
Mandatory Skills:
5+ years of experience in Big Data Technologies with proficiency in Hadoop, Spark(Scala/Python), Hive, Oozie, NiFi etc and 2+ years of solid experience on Azure Data engineering.
Demonstrated ability in building Modern Data solutions leveraging state of the art Azure services including ADLS, ADF, Databricks, Synapse & Azure DevOps.
Responsible for Design and development of efficient data ELT/ETL processes in Azure ADF, Databricks, Synapse, T-SQL etc that leverage External and Internal data sources using APIs, connectors, frameworks and facilitate curating data that include developing Star and/or Snowflake schemas as necessary for reporting while managing different data zones in the Datalake.
DP-203 certification is a plus.
Basic Qualifications:
Bachelor's or Master's degree in computer science or a related discipline.
Good communication & Interpersonal skills to interact with customers and partner teams
Must be a quick learner & Self-starter who requires minimal supervision.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure Big Data Computer Science Databricks DevOps ELT Engineering ETL Hadoop NiFi Oozie Python Scala Snowflake Spark SQL T-SQL
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