6 - 11 years
4 - 9 Lacs
Posted:2 days ago|
Platform:
Work from Office
Full Time
Note- Associate "Already applied in NCS, will not be eligible"
Essential for this role:
Education and Qualifications:• Bachelors degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent.• Minimum seven plus years of experience in data analytics field• Experience with Azure/AWS Databricks• Experience in building and optimizing data pipelines, architectures and data sets• Excellent experience in Scala or Python, PySpark and SQL• Ability to troubleshoot and optimize complex queries on the Spark platform• Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques• Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS• Hands on experience in performance tuning and optimizing code running in Databricks environment• Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment
Technical / Professional Skills :
Good to have:
• Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks• Data Engineering expertise in Big Data Management using Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure
Futurz Staffing Solutions
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
4.0 - 9.0 Lacs P.A.
bengaluru
8.0 - 18.0 Lacs P.A.
bengaluru
10.0 - 20.0 Lacs P.A.
bengaluru
11.0 - 21.0 Lacs P.A.
bengaluru
10.0 - 20.0 Lacs P.A.
bengaluru
10.0 - 20.0 Lacs P.A.
Experience: Not specified
1.8 - 3.6 Lacs P.A.
bengaluru
15.0 - 22.5 Lacs P.A.
bengaluru
15.0 - 25.0 Lacs P.A.
gurgaon
5.925 - 9.0 Lacs P.A.
