205 Job openings found

Job Title: Data warehouse engineer   We’re seeking a Data warehouse engineer with insurance expertise to manage our Microsoft-based data warehouse, integrations, and leverage Snowflake, Power BI, and AI to deliver insights.    Key Qualifications Microsoft Data Warehouse Expertise: Proficiency in Microsoft tools like SQL Data Warehouse/Azure Synapse Analytics and SQL Server for managing a ...

Proficiency in advanced PL/SQL scripting: stored procedures, functions, packages, triggers, and dynamic SQL. Ability to design modular PL/SQL code that is reusable, efficient, and optimized for performance and scalability. Experience in bulk data processing and using PL/SQL techniques such as BULK COLLECT and FORALL. Strong experience in designing normalized and optimized database schemas ...

Job Description- Data Architect - SnowflakeResponsibilities:• Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns.• Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities.• Develop and enforce data modelling standards ...

   Job Description As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811. You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure. Your expertise in data architecture, performance optimization, and ...

Job Description: The software engineer will be responsible for overseeing the organization’s Enterprise Resource Planning (ERP) systems (Microsoft Dynamic Business Central), ensuring optimal performance, security, and integration with business processes. This role specializes in SQL-based databases (Microsoft SQL Server, MySQL) and manages ERP database architecture, performance tuning, and data integrity. The IT ERP Manager ...

Primary Responsibilities: Data Analysis & Reporting • Collect, clean, validate, and analyze data from multiple sources including government systems, APIs, and open datasets. • Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. • Support performance monitoring of digital service delivery (e.g., user adoption, grievance redressal, efficiency metrics). Visualization & Dashboarding • Design and develop dynamic, ...

Requirement : Azure Databricks   Location : Bangalore (Onsite)   Experience : 5+yrs       Databricks, Azure, Python CPG, creating CI/CD pipelines in data bricks using features in Databricks. Proficiency in a structured programming language is a must such as Python. Design, implement, and maintain scalable data processing pipelines using Azure Databricks with PySpark or Scala. Perform ETL/ELT operations, data cleaning, ...

Principal Accountabilities and Responsibilities The candidate is expected to perform basic data ETL (Extract-Transform-Load) tasks – starting with extraction of datafrom the source systems, cleaning it, handling exceptions and finally prepare them to feed into various systems/toolsdepending on the projects/PODs/delivery channels. Testing and validation of data models/data tables/data assets The ...

Data Analytics Lead (8+ years)   Analyze and document reporting requirements Design BI report layouts, model and prepare mapping Design the semantic layer Design reporting and analytics templates Evaluate and improve existing BI Systems Prepare BI security strategy Azure data engineering Lead (8+ years) –   Participate in requirement gathering and analysis with SMEs Design and build the overall integrations for ...

Develop and support MDM solutions   Contribute to a team responsible for designing, developing, optimizing, and maintaining the master data (MDM) processes Understand overall data strategies and roadmaps Assemble large, complex sets of data to meet non-functional and functional requirements Partners with Solution Architects to perform source system analysis, identification of key data issues, data ...