8 Olap Systems Jobs

As a candidate with 5+ years of IT experience and a good understanding of analytics tools, you should be able to lead teams effectively. You should have prior experience in production deployment and production support teams, along with expertise in Big Data tools such as Hadoop, Spark, Apache Beam, and Kafka. Your proficiency in object-oriented/scripting languages like Python, Java, C++, and Scala will be essential for this role. Additionally, experience with DW tools like BQ, Redshift, Synapse, or Snowflake, as well as ETL and Data Warehousing, is required. Familiarity with relational and non-relational databases (e.g., MySQL, MS SQL Server, Postgres, MongoDB, Cassandra) and cloud platforms...

As an experienced IT professional with over 2 years of experience, you should have a good understanding of analytics tools to effectively analyze data. You should also possess the ability to learn new tools and technologies. Your previous work experience should include working with at least one Structural database (such as SQL, Oracle, or Postgres) and one NoSQL database. It is essential to have a strong understanding of Data Warehouse (DW), Data Mart, and Data Modelling concepts. You should have been a part of a Data Warehouse design team in at least one project. Key Responsibilities: - Be aware of design best practices for OLTP and OLAP systems - Have exposure to load testing methodologies...

You should have at least 5 years of IT experience with a good understanding of analytics tools for effective data analysis. You must be capable of leading teams and have prior experience working in production deployment and production support teams. Proficiency in Big Data tools such as Hadoop, Spark, Apache Beam, Kafka, etc., and object-oriented/object function scripting languages like Python, Java, C++, Scala, etc., is required. Experience with DW tools like BQ, Redshift, Synapse, or Snowflake, as well as ETL and Data Warehousing, is essential. You should have a solid understanding of relational and non-relational databases such as MySQL, MS SQL Server, Postgres, MongoDB, Cassandra, etc., ...

Job Role: Senior Database Engineer Location: Hyderabad / Gurgaon / Noida Start Date: As soon as possible Key Responsibilities Build data pipelines for optimal extraction, transformation, and loading from various data sources using SQL and cloud database technologies. Work with stakeholders (Executive, Product, Data, Design teams) to support data-related technical issues. Collaborate with data and analytics experts to enhance data system functionality. Assemble large, complex data sets meeting business requirements. Analyze and improve existing SQL code for performance, security, and maintainability. Design and implement internal process improvements (automation, scalability). Unit test datab...

You should have a minimum of 5 years of IT experience with a good understanding of analytics tools for effective data analysis. You must have prior experience working in production deployment and production support teams. It is essential to have hands-on experience with Big Data tools such as Hadoop, Spark, Apache Beam, and Kafka. Proficiency in object-oriented/object function scripting languages like Python, Java, C++, Scala, etc., is required. Additionally, experience with any Data Warehousing tools like BQ, Redshift, Synapse, or Snowflake is preferred. You should possess expertise in ETL processes and Data Warehousing concepts. A strong understanding and experience with both relational an...

As an experienced IT professional with over 5 years of experience, you should have a good understanding of analytics tools to effectively analyze data. Your previous roles may have involved working in production deployment and production support teams. You must be familiar with Big Data tools such as Hadoop, Spark, Apache Beam, and Kafka. Additionally, your expertise should include object-oriented/object function scripting languages like Python, Java, C++, and Scala. Experience with data warehousing tools like BQ, Redshift, Synapse, or Snowflake is essential. You should also be well-versed in ETL processes and have a strong understanding of relational and non-relational databases including M...

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that cater to the most complex digital transformation needs of clients. Our comprehensive range of consulting, design, engineering, and operational capabilities enables us to assist clients in achieving their most ambitious goals and establishing sustainable, future-ready businesses. With a global presence of over 230,000 employees and business partners spanning 65 countries, we remain committed to supporting our customers, colleagues, and communities in navigating an ever-evolving world. We are currently seeking an individual with hands-on experience in data modeling for both O...

As a Data Modeller specializing in GCP and Cloud Databases, you will play a crucial role in designing and optimizing data models for both OLTP and OLAP systems. Your expertise in cloud-based databases, data architecture, and modeling will be essential in collaborating with engineering and analytics teams to ensure efficient operational systems and real-time reporting pipelines. You will be responsible for designing conceptual, logical, and physical data models tailored for OLTP and OLAP systems. Your focus will be on developing and refining models that support performance-optimized cloud data pipelines, implementing models in BigQuery, CloudSQL, and AlloyDB, as well as designing schemas with...