1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Dear Candidate,
Greetings from MM Management!MM Management is into Global Recruitment Service Provider. Your profile is shortlisted for the initial screening of the Solution Cloud Data Architect position with our client. Please find the description below.
About company: This is the leading technology solution and service Company Specializing in comprehensive IP- led service in ...
5 Opening(s)
4.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 25.00 LPA
Hello,
Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.
About company- As a global business and technology solutions provider, we help clients modernize their businesses through digital transformation. At our core, we are an Information technology consulting ...
4 Opening(s)
4.0 Year(s) To 10.0 Year(s)
1.00 LPA TO 25.00 LPA
Please find the details below
Position : Data Engineer
Location : UAE (Abu Dhabi) / Offshore
Experience requirement : 4+ Years
Joining Date : Immediate to 15 days
Job Description
· Extensive coding experience and knowledge in Event driven and streaming architecture
· Experience in JVM tuning for performance
· Knowledge on Containerisation using Docker and Kubernetes.
· Working knowledge on Caching systems, with particular experience ...
1 Opening(s)
7.0 Year(s) To 15.0 Year(s)
0.00 LPA TO 0.00 LPA
A Bachelor's or Master's degree in engineering, computer science, or a related field OR an equivalent combination of relevant training / work experience
7+ years of experience of relevant experience as Azure Data Engineer
Thorough knowledge of designing efficient and resilient data pipelines, ETL workflows, data warehousing and Big Data processing
Proficient in ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
1.00 LPA TO 20.00 LPA
Please find the details below
Position : Sr.Data Engineer developer
Location : Permanent Work From Home
Experience requirement : 5-8 Years
Joining Date : Immediate to 15 days
Job Description
Strong hands-on coding experience creating data pipelines in Python (5+ years)
Experience in creating data pipelines using PySpark in Databricks (2+ years)
Strong hands-on coding experience in SQL (2+ years)
Experience with managing and ...
4 Opening(s)
5.0 Year(s) To 10.0 Year(s)
1.00 LPA TO 17.00 LPA
Please find the details below
Position : Data Engineer
Location :Bangalore (Hybrid office TUE and THU)
Experience requirement : 5+ Years
Joining Date : Immediate to 30 days
Job Description
5+ years of experience delivering solutions utilizing the entire Microsoft BI (SSIS,SQL)
5+ years of experience working in a data warehouse environment and a strong understanding of dimensional data modelling concepts
Additional ...
2 Opening(s)
4.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 25.00 LPA
Must to Have
• We are looking for good resource who has very good experience on Azure Data Lake, Azure Data Factory, Azure Data Bricks (Pyspark) and Azure Synapse
• Resource should have knowledge about source systems like Sales Force/ Oracle ERP/SAP Ariba etc and should have worked on the integrations with ...
3 Opening(s)
4.0 Year(s) To 8.0 Year(s)
13.00 LPA TO 15.00 LPA
Scala, Spark, Apache Sqoop, Cloudera, Unix Shell scripting, CAAS.
Experience: 4-6 years
At least four years of data engineering experience working with sophisticated data pipelines using Spark , Scala , Apache
Sqoop, Cloudera , Unix Shell scripting and CAAS.
Scala, Spark, Apache Sqoop, Cloudera, Unix Shell scripting, CAAS.
Experience: 4-6 years
At least four years of ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
10.00 LPA TO 35.00 LPA
• Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
• Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, RDD APIs & Spark SQL programming dealing ...
10 Opening(s)
4.0 Year(s) To 10.0 Year(s)
5.00 LPA TO 15.00 LPA
You will manage the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data; ? Acquire, create and manage innovative data assets for the team. These assets will draw from various sources – internal and external systems, flat files, databases and external APIs; ...