3 Opening(s)
5.0 Year(s) To 8.0 Year(s)
13.00 LPA TO 16.00 LPA
Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. ...
4 Opening(s)
4.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 20.00 LPA
Skills Required: Python + AWS/Airflow (Candidate should be very good in Python) Spark, SQL.
Experience: 3-8 years
Salary: 8 to 20 LPA
Location: Bangalore
No. of positions: 4 (2 SSE, 2 TC)
Job Description
Role requires experience in AWS and also programming experience in Python, SQL, Airflow and AWS.
Translate functional requirements into technical design
Interact with clients ...
1 Opening(s)
6.0 Year(s) To 7.0 Year(s)
16.00 LPA TO 18.00 LPA
Role: Lead the design, development, and optimization of data pipelines and data platform components for an e-commerce business. Work across ingestion, transformation, modeling, governance, and performance to support large-scale Data & AI use cases.
Key Responsibilities
Build and maintain scalable batch and streaming data pipelines from transactional systems, clickstream, and third-party sources.
Implement ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Job Description
As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811.
You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure.
Your expertise in data architecture, performance optimization, and ...
5 Opening(s)
5.0 Year(s) To 9.0 Year(s)
0.00 LPA TO 14.00 LPA
Job Title: Data Engineer
Location: PuneRate: 14 LPARelevant Experience: 5+ years
Job Overview:
We are looking to onboard a skilled Data Engineer immediately for a contract role. The ideal candidate will have strong expertise in data integration methodologies (ETL, data transformation) and hands-on experience building data pipelines using technologies like Spark and Databricks. Familiarity ...
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 ...
3 Opening(s)
2.0 Year(s) To 4.0 Year(s)
1.00 LPA TO 10.00 LPA
Position : Data Analyst
Location : Mumbai
Experience requirement : 2-4Years
Joining Date : Immediate to 30 days
Job Description
Responsibilities:
· Utilize SQL, Alteryx, and Tableau/Power BI to extract, transform, and visualize data for analytical purposes.
· Demonstrate intermediate-level proficiency in at least one of the major visualization tools (Tableau/Power BI).
· Apply working knowledge of Apache Hive, Apache Spark, Impala, Presto, and ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
1.00 LPA TO 18.00 LPA
Job description for Consultant Data Engineer
We offer exciting career opportunities for professionals seeking to make a significant impact. Our diverse team represents a rich tapestry of talent, expertise, and cultural backgrounds. environment that values collaboration, creativity, and continuous learning..
We work closely on global projects spanning various sectors, including manufacturing, gaming, ...
2 Opening(s)
6.0 Year(s) To 10.0 Year(s)
17.00 LPA TO 20.00 LPA
Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices.
...
3 Opening(s)
7.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 28.00 LPA
Key Responsibilities:
Design, architect, and engineer big data solutions
Develop a modern data analytics lake house
Propose and standardize ELT, BI, AI, governance, and analytics
Publish enterprise ingress, development, transform, egress, consumption guidelines
Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
Implement continuous integration, continuous deployment, DevOPs practice
Create, ...