108 Job openings found

1 Opening(s)
10.0 Year(s) To 20.0 Year(s)
12.00 LPA TO 25.00 LPA
Hands on experience in Hadoop, HDFS & HIVE development and implementation Hands on Experience in Spark Programming Good knowledge on Kafka Good knowledge of database structures, theories, principles, and practices. Hands on experience in HBase/Cassandra Good to have experience on SCALA, Python Translate complex functional and technical requirements into detailed ...
1 Opening(s)
10.0 Year(s) To 18.0 Year(s)
20.00 LPA TO 40.00 LPA
·         Hands on experience in Hadoop, HDFS & HIVE development and implementation ·         Hands on Experience in Spark Programming ·         Good knowledge on Kafka ·         Good knowledge of database structures, theories, principles, and practices. ·         Hands on experience in HBase/Cassandra ·         Good to have experience on SCALA, Python ·         Translate complex functional and technical requirements into ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
SKillsets -   Big Query SQL, Python, GCP, Alteryx Job Description:Proficient in Big Query SQL and similar tools to query, analyze and interpret big data.Develop and implement Cloud Application & Data Integration workflows using Python, Alteryx and similar tools on GCP.Develop a well-defined analytics architecture strategy to enable Data Analytics/Insights with GCP ...
1 Opening(s)
11.0 Year(s) To 16.0 Year(s)
Not Disclosed by Recruiter
Skills Required Skills: Data Modelling, DW/BI, AWS Data Lake   Roles and responsibilities Minimum overall experience of 12 years with minimum 4 years of experience as architect            -Own the design, development, and maintenance of the data models at all levels in the data warehouse environment            -logical, relational, and dimensional            -Work collaboratively with BI team ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
We are having an urgent opening for a reputed company for the designation of Data Engineer for the Mumbai location. Responsibilities: Collect and process data Maintain existing ETL programs to ingest data from AWS, HDFS, SQL, and MySQL Implement API from existing sources Design and adapt ETL tools for new data sources, including streaming data Develop API for ...
3 Opening(s)
5.6 Year(s) To 7.5 Year(s)
11.20 LPA TO 15.00 LPA
Role : Application Lead  Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.                                                       ...
4 Opening(s)
6.0 Year(s) To 16.0 Year(s)
25.00 LPA TO 40.00 LPA
Job Description: We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...
4 Opening(s)
3.5 Year(s) To 5.4 Year(s)
7.00 LPA TO 11.00 LPA
Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...
4 Opening(s)
3.5 Year(s) To 5.5 Year(s)
7.00 LPA TO 11.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have Skills : Microsoft Azure Analytics Services Good to Have Skills : No Technology Specialization Job Requirements : Key Responsibilities : A Function as the Junior Data Architect ...
5 Opening(s)
2.0 Year(s) To 5.0 Year(s)
1500000.00 LPA TO 4000000.00 LPA
Experience 2 years to 5 years of experience as Analytics / Business Intelligence / Data Science mandatory Experience in Recommendation Engine for optimizing time spent on the platform. Experience with Big Data querying tools, such as Hive, Pig, and Impala Experience in Spark ML ( Spark Machine Learning) Age 25 - 36 yrs Others Looking for the candidates notice ...

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