5 Erstudio Jobs

You are a versatile Data Model Developer with 6 to 9 years of experience, proficient in designing robust data models across cloud (GCP) and traditional RDBMS environments. Your role involves collaborating with cross-functional teams to develop schemas that cater to both operational systems and analytical use cases. Your key responsibilities include designing and implementing scalable data models for cloud (GCP) and traditional RDBMS, supporting hybrid data architectures integrating real-time and batch workflows, collaborating with engineering teams for seamless schema implementation, documenting conceptual, logical, and physical models, assisting in ETL and data pipeline alignment with schema definitions, and monitoring and refining performance through partitioning and indexing strategies. You must have experience with GCP data services like BigQuery, CloudSQL, AlloyDB, proficiency in relational databases such as PostgreSQL, MySQL, or Oracle, solid grounding in OLTP/OLAP modeling principles, familiarity with schema design tools like DBSchema, ER/Studio, and SQL expertise for query performance optimization. Preferred skills include experience working in hybrid cloud/on-prem data architectures, functional knowledge in BFSI or asset management domains, and knowledge of metadata management and schema versioning. Soft skills required for this role include adaptability to cloud and legacy tech stacks, clear communication with engineers and analysts, and strong documentation and collaboration skills. Joining this role will allow you to contribute to dual-mode data architecture (cloud + on-prem), solve real-world data design challenges in regulated industries, and have the opportunity to influence platform migration and modernization.,

As a Functional Data Modeler in the Mutual Fund industry, you will play a vital role in designing data models that accurately represent fund structures, NAV calculations, asset allocation, and compliance workflows. Your expertise in data modeling, combined with a deep understanding of mutual funds and BFSI domains, will be instrumental in creating schemas that meet operational and regulatory requirements. Your responsibilities will include collaborating with business analysts and product teams to translate functional requirements into effective data structures. It will be crucial for you to ensure that the data models you design comply with data privacy regulations, regulatory reporting standards, and audit requirements. Additionally, you will be responsible for building OLTP and OLAP data models to support real-time and aggregated reporting needs and documenting metadata, lineage, and data dictionaries for business use. To excel in this role, you must have a strong domain expertise in Mutual Fund/BFSI operations and a proven track record in data modeling for financial and regulatory systems. Proficiency in schema design on GCP platforms such as BigQuery and CloudSQL, as well as hands-on experience with modeling tools like DBSchema or ER/Studio, are essential skills required for this position. Preferred skills for this role include experience working with fund management platforms or reconciliation engines and familiarity with financial compliance standards such as SEBI and FATCA. Soft skills like strong business acumen and effective documentation capabilities will also be valuable in liaising between functional and technical teams successfully. By joining our team, you will have the opportunity to own critical financial data architecture, influence domain-driven modeling for financial ecosystems, and be part of a fast-paced data transformation journey in the BFSI sector. If you are looking to make a significant impact in the field of data modeling within the mutual fund industry, this role is perfect for you.,

The Data Warehouse Engineer will be responsible for managing and optimizing data processes in an Azure environment using Snowflake. The ideal candidate should have solid SQL skills and a basic understanding of data modeling. Experience with CI/CD processes and Azure ADF is preferred. Additionally, expertise in ETL/ELT frameworks and ER/Studio would be a plus. As a Senior Data Warehouse Engineer, in addition to the core requirements, you will oversee other engineers while also being actively involved in data modeling and Snowflake SQL optimization. You will be responsible for conducting design reviews, code reviews, and deployment reviews with the engineering team. Familiarity with medallion architecture and experience in Healthcare or life sciences industry will be highly advantageous. At Myridius, we are committed to transforming the way businesses operate by offering tailored solutions in AI, data analytics, digital engineering, and cloud innovation. With over 50 years of expertise, we aim to drive organizations through the rapidly evolving landscapes of technology and business. Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize new opportunities, drive significant growth, and maintain a competitive edge in the global market. We go beyond typical service delivery to craft transformative outcomes that help businesses not just adapt, but thrive in a world of continuous change. Discover how Myridius can elevate your business to new heights of innovation by visiting us at www.myridius.com and start leading the change.,

As a Data Warehouse Engineer at Myridius, you will be responsible for working with solid SQL language skills and possessing basic knowledge of data modeling. Your role will involve collaborating with Snowflake in Azure, CI/CD process using any tooling. Additionally, familiarity with Azure ADF and ETL/ELT frameworks would be beneficial for this position. It would be advantageous to have experience in ER/Studio and a good understanding of Healthcare/life sciences industry. Knowledge of GxP processes will be a plus in this role. For a Senior Data Warehouse Engineer position, you will be overseeing engineers while actively engaging in the same tasks. Your responsibilities will include conducting design reviews, code reviews, and deployment reviews with engineers. You should have expertise in solid data modeling, preferably using ER/Studio or an equivalent tool. Optimizing Snowflake SQL queries to enhance performance and familiarity with medallion architecture will be key aspects of this role. At Myridius, we are dedicated to transforming the way businesses operate by offering tailored solutions in AI, data analytics, digital engineering, and cloud innovation. With over 50 years of expertise, we drive a new vision to propel organizations through rapidly evolving technology and business landscapes. Our commitment to exceeding expectations ensures measurable impact and fosters sustainable innovation. Together with our clients, we co-create solutions that anticipate future trends and help businesses thrive in a world of continuous change. If you are passionate about driving significant growth and maintaining a competitive edge in the global market, join Myridius in crafting transformative outcomes and elevating businesses to new heights of innovation. Visit www.myridius.com to learn more about how we lead the change.,

As a Data Model Designer, you will be responsible for structuring and organizing data to support scalable applications and reporting systems. Your role will play a crucial part in maintaining data consistency and reusability throughout the organization. Your key responsibilities will include developing and maintaining conceptual, logical, and physical data models, ensuring that these models align with reporting, analytics, and application requirements. You will collaborate with stakeholders to gather data requirements, normalize data, optimize relationships, and work closely with developers and DBAs to implement these models in production. To be successful in this role, you should have 6-9 years of experience in data modeling or business intelligence, a strong understanding of relational databases and data warehousing, and proficiency in data modeling tools such as PowerDesigner, dbt, and ER/Studio. You should possess the ability to interpret business needs and translate them into effective data structures, with a keen attention to detail. It would be advantageous if you have experience with dimensional modeling, including star/snowflake schemas, and familiarity with master data management concepts. Key Skills: er/studio, data warehousing, modeling, powerdesigner, relational databases, data modeling tools, business intelligence, master data management, data, dimensional modeling, dbt, data modeling,