4 Er Model Jobs

Mandatory skills: • Min 7+ years of hands-on experience in creating T-SQL functions, stored procedures, views, triggers, complex querying techniques, Query optimization/Performance tuning techniques, indexes, user-defined types, constructing dynamic queries ( all are mandatory) • Min 3+ years of experience in ETL concepts and any one ETL tool • Flexibility to work in any RDBMS database tech like MSFT or Oracle. • Should be well versed in RDBMS constructs and CAP Theory. • Should be able to explain the redo and rollback functionalities in RDBMS • Should be able to explain performance by design constructs for different types of data stores like OLTP and OLAP • Should be aware of Bill Inmon Vs Ralph Kimball school of thoughts in data warehouse constructs and should be able to articulate the pros and cons of the design principles • Should be able to understand and articulate multiple data modelling design principles like Canonical data model, ER model , Start schema, Data lake, etc. Good to Have: • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB and PostgreSQL are highly desirable

Mandatory skills: • Min 7+ years of hands-on experience in creating T-SQL functions, stored procedures, views, triggers, complex querying techniques, Query optimization/Performance tuning techniques, indexes, user-defined types, constructing dynamic queries ( all are mandatory) • Min 3+ years of experience in ETL concepts and any one ETL tool • Flexibility to work in any RDBMS database tech like MSFT or Oracle. • Should be well versed in RDBMS constructs and CAP Theory. • Should be able to explain the redo and rollback functionalities in RDBMS • Should be able to explain performance by design constructs for different types of data stores like OLTP and OLAP • Should be aware of Bill Inmon Vs Ralph Kimball school of thoughts in data warehouse constructs and should be able to articulate the pros and cons of the design principles • Should be able to understand and articulate multiple data modelling design principles like Canonical data model, ER model , Start schema, Data lake, etc. Good to Have: • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB and PostgreSQL are highly desirable

Mandatory skills: • Min 7+ years of hands-on experience in creating T-SQL functions, stored procedures, views, triggers, complex querying techniques, Query optimization/Performance tuning techniques, indexes, user-defined types, constructing dynamic queries ( all are mandatory) • Min 3+ years of experience in ETL concepts and any one ETL tool • Flexibility to work in any RDBMS database tech like MSFT or Oracle. • Should be well versed in RDBMS constructs and CAP Theory. • Should be able to explain the redo and rollback functionalities in RDBMS • Should be able to explain performance by design constructs for different types of data stores like OLTP and OLAP • Should be aware of Bill Inmon Vs Ralph Kimball school of thoughts in data warehouse constructs and should be able to articulate the pros and cons of the design principles • Should be able to understand and articulate multiple data modelling design principles like Canonical data model, ER model , Start schema, Data lake, etc. Good to Have: • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB and PostgreSQL are highly desirable

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Python Data Platform Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). Job Duties: Team Overview The Controls Engineering, Measurement and Analytics (CEMA) department is responsible for Cyber Risk and Control assessment, management, monitoring, and reporting capabilities across Technology, resulting in risk reduction and better oversight of the technology risk landscape of the firm. Our work is always client focused, our engineers are problem-solvers and innovators. We seek exceptional technologists to help deliver solutions on our user-facing applications, data stores, and reporting and metric platforms while being cloud-centric, leveraging multi-tier architectures and aligned with our DevOps and Agile strategies. We are in the process of modernizing our technology stack across multiple platforms with the goal of building scalable, front-to-back assessment, measurement and monitoring systems using the latest cloud, web, and data technologies. We are looking for someone with a systematic problem-solving approach, coupled with a sense of ownership and drive. The successful candidate will be able to influence and collaborate globally. They should be a strong team-player, have an entrepreneurial approach, push innovative ideas while appropriately considering risk, and adapt in a fast-paced changing environment. Role Summary As an ETL / Data Engineer, you will be a member of the CEDAR / C3 Data Warehouse team, with a focus on sourcing and storing data from various technology platforms across the firm into a centralized data platform used to build various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. In this role you will be primarily responsible for the development of data pipelines, database views, and stored procedures, in addition to performing technical data analysis, and monitoring and tuning queries and data loads. You will be working closely with data providers, data analysts, data developers, and data analytics teams to facilitate the implementation of client-specific business requirements and requests. KEY RESPONSIBILITIES: To develop ETLs, stored procedures, triggers, and views on our existing DB2-based Data Warehouse and on our new Snowflake-based Data Warehouse. To perform data profiling and technical analysis on source system data to ensure that source system data can be integrated and represented properly in our models. To monitor the performance of queries and data loads and perform tuning as necessary. To provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues. Minimum Skills Required: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field required. At least 5+ years of experience in data development and solutions in highly complex data environments with large data volumes. At least 5+ years of experience developing complex ETLs with Informatica PowerCenter. At least 5+ years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis. At least 5+ years of experience developing complex stored procedures, triggers, MQTs and views on IBM DB2. Experience with performance tuning DB2 tables, queries, and stored procedures. An understanding of E-R data models (conceptual, logical, and physical). Strong understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal Bi-Temporal models, etc.). Experience with Python a plus. Experience with developing data transformations using DBT a plus. Experience with Snowflake a plus. Experience with Airflow a plus. Experience with using Spark (PySpark) for data loading and complex transformations a plus. Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. Strong communication skills both verbal and written.