2 Opening(s)
6.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Job description:
"Data engineering development & testing with experience in Py-Spark and SQL”.
Experienced big data developer with hands on Py-Spark & Hadoop/HDFS development skills. Ideal candidate would be a big data engineer passionate about data, data modelling, data enrichment for deriving deep insights accessible via Visualization dashboards or third party tools.
Must ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. ...
3 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Job Title: GEN AI
Project Duration- 6 months
Exp- 4-7 yrs
Location : Bangalore (Hybrid)
Required Skills & Qualifications:
Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies.
Proficiency with Azure Databricks.
Strong analytical, problem-solving, and stakeholder communication skills.
Solid understanding of data governance frameworks, compliance, and internal controls.
Experience in data quality rule development, profiling, and implementation.
Experience with ...
6 Opening(s)
3.5 Year(s) To 5.4 Year(s)
12.00 LPA TO 16.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
6 Opening(s)
5.3 Year(s) To 7.4 Year(s)
16.00 LPA TO 22.00 LPA
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : Data Modeling Techniques and Methodologies Good to Have Skills : Data Engineering Job Requirements : Key Responsibilities : A Lead or ...
5 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
SKILL TITLEAzure Data Bricks
KEY SKILLS ( MANDATORY)Azure Data Bricks (Mim realvent exp 5+ yrs)
JOB DESCRIPTION (DETAILED)Should have 10+ years of experience, minimum 8+ in Data engineering and Analytics with Microsoft cloud technologies.Expertise to Implementing Data warehousing Solutions. experience as Data Engineer in Azure Data Bricks with design and solutioning.Strong Programming experience ...
1 Opening(s)
1.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
What You Will Do
Work closely with constituents across the business {Sales, Marketing, Product, Customer Experience, Research and Finance}
Develop insights and strategy to drive revenue growth from customer base
Assist in annual budget planning and alignment
Use data mining techniques and analyse core KPI's and generate insight to reach and improve on the ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
20.00 LPA TO 25.00 LPA
Project Duration- 3 months (extendable 6 months)
Rate-1.60 Lac Pm
Exp- 4-7 yrs
Bangalore Hybrid
Required Skills & Qualifications:
Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies.
Proficiency with Azure Databricks.
Strong analytical, problem-solving, and stakeholder communication skills.
Solid understanding of data governance frameworks, compliance, and internal controls.
Experience in data quality rule development, profiling, and implementation.
Experience 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)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
1. Architecture & Deployment
Design and implement highly available and scalable Elasticsearch clusters.
Conduct architecture reviews, capacity planning, and performance optimization.
Ensure robust security configurations, including access controls and encryption.
2. Data Migration
Develop and execute data migration strategies, including snapshot and restore mechanisms.
Ensure seamless data movement across multiple clusters while maintaining data integrity.
3. Observability & Monitoring
Set up log collection pipelines using Beats ...