49 Job openings found

1 Opening(s)
13.0 Year(s) To 17.0 Year(s)
80.00 LPA TO 90.00 LPA
Requirements: 12 to 15 years of experience in developing platforms in the Data engineering space. Minimum of 4-5 years of experience in managing Data Engineering teams. Hands-on experience with SQL, ETL pipelines, Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Role Overview: We are seeking a skilled Python Developer with expertise in data engineering and a strong background in the insurance domain along with 4+ years of relevant experience. The ideal candidate will excel in developing scalable data pipelines, handling large datasets, and automating workflows using Apache Airflow.  Key Responsibilities: Build and ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Digital Data Engineering Practitioner  Project Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.                  ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
 - Data Engineer (PySpark):• 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.• Experience working on Unix based platforms with ...
6 Opening(s)
7.4 Year(s) To 13.0 Year(s)
20.00 LPA TO 26.00 LPA
Project Role : Application Lead  Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.                                                    ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Senior Data Engineer We are looking for a talented and experienced Senior Data Engineer to join our growing team and play a key role in building and maintaining our data infrastructure. Responsibilities: Design, develop, and deploy high-performance, scalable data pipelines using Azure Datalake, Databricks, Data Factory, and DBT (minimum 3 years of experience required). Own the end-to-end data engineering life cycle, from ...
2 Opening(s)
3.0 Year(s) To 6.0 Year(s)
0.00 LPA TO 25.00 LPA
Job Description: BI Engineer (Microstrategy One) We are seeking a highly skilled and experienced BI Engineer with a strong background in Microstrategy One development and data modeling. As a BI Engineer, you will play a crucial role in developing and maintaining our business intelligence solutions, enabling data-driven decision-making across the ...
4 Opening(s)
3.5 Year(s) To 5.5 Year(s)
7.00 LPA TO 11.00 LPA
Project Role : Digital Data Engineering Practitioner Project Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments. Must have Skills : SAP Data Services Development ...
5 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities :  Design, develop, and maintain scalable data pipelines and ETL processes to support various business needs.  Build and manage data workflows using the Databricks, GCP stack, including BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and other GCP services.  Implement data models and transformations using DBT (Data Build Tool) to support ...
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 ...

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