3+ Teradata Jobs in Pune | Teradata Job openings in Pune
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Responsibilities:
• Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing
• Implementing Spark processing based ETL frameworks
• Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption
• Modifying the Informatica-Teradata & Unix based data pipeline
• Enhancing the Talend-Hive/Spark & Unix based data pipelines
• Develop and Deploy Scala/Python based Spark Jobs for ETL processing
• Strong SQL & DWH concepts.
Preferred Background:
• Function as integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
• Lead project efforts in defining scope, planning, executing, and reporting to stakeholders on strategic initiatives
• Understanding of EDW system of business and creating High level design document and low level implementation document
• Understanding of Big Data Lake system of business and creating High level design document and low level implementation document
• Designing Big data pipeline for Data Ingestion, Storage, Processing & Consumption
We are looking for a Teradata developer for one of our premium clients, Kindly contact me if interested
- Must have 4 to 7 years of experience in ETL Design and Development using Informatica Components.
- Should have extensive knowledge in Unix shell scripting.
- Understanding of DW principles (Fact, Dimension tables, Dimensional Modelling and Data warehousing concepts).
- Research, development, document and modification of ETL processes as per data architecture and modeling requirements.
- Ensure appropriate documentation for all new development and modifications of the ETL processes and jobs.
- Should be good in writing complex SQL queries.
- • Selected candidates will be provided training opportunities on one or more of following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume and
- Kafka would get chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
- Will play an active role in setting up the Modern data platform based on Cloud and Big Data
- Would be part of teams with rich experience in various aspects of distributed systems and computing.
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