45 Job openings found

2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
0.00 LPA TO 18.00 LPA
Job Description Roles And Responsibilities of ETL Developer• Participate in Design discussions & updating Design documents• Transforms data requirements into functional mapping designs• Handle data modelling, data warehouse architecture, data pipeline management, and ETL testing• Utilize various data warehousing fundamentals for setting up a data warehouse• Help to collect, manage, and ...
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, ...
5 Opening(s)
5.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
We are hiring for the profile- Senior Java Developer  Key Skills: Strong experience in Core Java, Multi-Threading, data structures (List/Map/Set) and unit testing with (Junit, Mockito) Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres) Strong experience in applying Object-Oriented design principles and Design Patterns Good ...
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)
7.0 Year(s) To 12.0 Year(s)
10.00 LPA TO 35.00 LPA
•         Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. •         Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, RDD APIs & Spark SQL programming dealing ...
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 ...
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.                                                    ...
6 Opening(s)
5.3 Year(s) To 7.4 Year(s)
12.00 LPA TO 18.00 LPA
Project Role : Application Lead  Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.                                                    ...
5 Opening(s)
5.0 Year(s) To 10.0 Year(s)
4.00 LPA TO 6.50 LPA
ABOUT THE ROLE As a member of the Analytics team, you will drive the analysis behind decisions related to various products with our client. The candidate would be expected to own and deliver analysis on one or multiple projects right from understanding different client databases to analysing the data appropriately - ...

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