Role & responsibilities: Experience: 6+ years of experience in data analysis, with at least 2+ years of experience in DataVault modeling. Prior experience in the financial services domain is highly preferred. Technical Skills: Strong proficiency in SQL and hands-on experience with DataVault 2.0 methodology. Familiarity with data analysis tools like Python, R, or SAS. Experience with ETL/ELT tools and cloud data platforms (e.g., Azure Synapse, AWS Redshift, or GCP BigQuery). Knowledge of Wherescape 3D and RED for modelling DataVault Data Visualization: Proficiency in creating dashboards and reports using tools such as Power BI, Tableau, or Qlik. Soft Skills: Excellent analytical thinking and problem-solving abilities. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Knowledge of Financial Services: Understanding of key financial metrics and regulatory requirements, such as Basel III or SOX compliance.

Key Responsibilities : Lead the design and development of scalable data pipelines using PySpark and ETL frameworks on Google Cloud Platform (GCP) . Own end-to-end data architecture and solutions, ensuring high availability, performance, and reliability. Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver actionable insights. Optimize complex SQL queries and support advanced data transformations. Ensure best practices in data governance, data quality, and security . Mentor junior engineers and contribute to team capability development. Requirements : 8+ years of experience in data engineering roles. Strong expertise in GCP data services (BigQuery, Dataflow, Pub/Sub, Composer, etc.). Hands-on experience with PySpark and building ETL pipelines at scale. Proficiency in SQL with the ability to write and optimize complex queries. Solid understanding of data modeling, warehousing, and performance tuning. Experience with CI/CD pipelines, version control, and infrastructure-as-code is a plus. Excellent problem-solving and communication skills. Preferred Qualifications : GCP Certification (e.g., Professional Data Engineer). Experience with Airflow, Kubernetes, or Terraform.

Virtual Recruitment Drive Senior Business Analyst (2 - 4 Years Experience) Immediate Joiners Preferred Preferred Candidates:- (Kindly go through the JD well ) Project Experience : 24 years of experience in strategy consulting or advanced analytics projects , with a strong business problem-solving mindset. Core Tools : Proficient in Advanced Excel , dashboarding (Power BI/Tableau), and PowerPoint for delivering client-ready insights and visualizations. Analytical Skills : Ability to work with complex data, identify trends, and translate findings into clear, actionable business recommendations. Technical Skills (Good to Have) : Exposure to SQL and Python for data manipulation and advanced analytics. Domain Exposure (Preferred) : Experience in Retail , FMCG , or CPG sectors is an added advantage. Communication & Collaboration : Strong communication skills with the ability to work cross-functionally and present to senior stakeholders.

Designed, developed and delivered multiple machine learning projects including implementation in production Worked on a variety of Data Science projects Experience converting a business problem into a Data Science problem Strong grasp of ML and Time Series fundamentals and their applications in business Proficiency in Python (including pandas/scikit-learn) Experience in leading or guiding a team of data scientists/ML engineers Familiarity with relational databases and intermediate level knowledge of SQL A team player who can deliver under pressure An eye for detail, quick learner and can think out of the box Familiarity with cloud platforms Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, etc. is a plus.

Role & responsibilities Application Development: Design, develop, and maintain scalable applications using .NET technologies, ensuring high performance on desktop and web platforms. ETL Process Management: Develop and maintain ETL processes using SSIS to extract, transform, and load data from multiple sources, ensuring data integrity and performance. Database Management: Design and develop complex SQL queries, stored procedures, functions, and views for data retrieval and manipulation. Collaboration: Work closely with cross-functional teams to gather requirements, define, design, and ship new features, ensuring alignment with business objectives. Performance Optimization: Monitor application and ETL pipeline performance, identify bottlenecks, and implement solutions to address these issues. Security and Compliance: Ensure application and data security by applying appropriate infrastructure, security patches, and adhering to compliance requirements. Code Quality: Write clean, maintainable, and efficient code that complies with company standards and best practices. Participate in code reviews to ensure code quality and distribute knowledge. Documentation: Maintain comprehensive documentation for code, processes, and procedures to facilitate knowledge sharing and system maintenance. Continuous Improvement: Stay abreast of the latest and emerging technologies in software development, including AI/ML, and incorporate new technologies as appropriate into solution design. Preferred candidate profile Proficiency in .NET Framework, C#, ASP.NET, MVC, Web API, and JavaScript frameworks (e.g., React/Angular). Extensive experience with SQL Server, including writing complex queries, stored procedures, and functions. Hands-on experience with SSIS for developing ETL processes. Familiarity with SSRS for report generation. Experience with Azure DevOps and CI/CD pipelines. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to mentor junior developers and foster a positive team environment.

We are seeking a highly creative and experienced Senior Graphic Designer to lead design initiatives across digital platforms. The ideal candidate has a strong portfolio in UI/UX , proficiency in AI design tools , and expertise in Illustration, Photoshop, PowerPoint, and Canva . Youll collaborate cross-functionally to deliver high-impact visual solutions that align with brand and user needs. Key Responsibilities: Design intuitive and engaging UI/UX for web and mobile applications Develop high-quality illustrations, graphics, and presentations (PPTs) Use AI tools to streamline design workflows and generate creative assets Ensure brand consistency across all visual touchpoints Collaborate with product, marketing, and development teams Mentor junior designers and lead creative direction when needed Requirements: 5+ years of experience in graphic and UI/UX design Proficient in Figma/Adobe XD, Photoshop, Illustrator, Canva, and PowerPoint Experience with AI design tools (e.g., Midjourney, DALL•E, Runway, etc.) Strong visual, typographic, and storytelling skills Ability to handle multiple projects in a fast-paced environment

Role & responsibilities • Assume ownership of Data Engineering projects from inception to completion. Implement fully operational Unified Data Platform solutions in production environments using technologies like Databricks, Snowflake, Azure Synapse etc. Showcase proficiency in Data Modelling and Data Architecture Utilize modern data transformation tools such as DBT (Data Build Tool) to streamline and automate data pipelines (nice to have). Implement DevOps practices for continuous integration and deployment (CI/CD) to ensure robust and scalable data solutions (nice to have). Maintain code versioning and collaborate effectively within a version-controlled environment. Familiarity with Data Ingestion & Orchestration tools such as Azure Data Factory, Azure Synapse, AWS Glue etc. Set up processes for data management, templatized analytical modules/deliverables. Continuously improve processes with focus on automation and partner with different teams to develop system capability. Proactively seek opportunities to help and mentor team members by sharing knowledge and expanding skills. Ability to communicate effectively with internal and external stakeholders. Coordinating with cross-functional team members to make sure high quality in deliverables with no impact on timelines Preferred candidate profile • Expertise in computer programming languages such as: Python and Advance SQL • Should have working knowledge of Data Warehousing, Data Marts and Business Intelligence with hands-on experience implementing fully operational data warehouse solutions in production environments. • 3+ years of Working Knowledge of Big data tools (Hive, Spark) along with ETL tools and cloud platforms. • 3+ years of relevant experience in either Snowflake or Databricks. Certification in Snowflake or Databricks would be highly recommended. • Proficient in Data Modelling and ELT techniques. • Experienced with any of the ETL/Data Pipeline Orchestration tools such as Azure Data Factory, AWS Glue, Azure Synapse, Airflow etc. • Experience working with ingesting data from different data sources such as RDBMS, ERP Systems, APIs etc. • Knowledge of modern data transformation tools, particularly DBT (Data Build Tool), for streamlined and automated data pipelines (nice to have). • Experience in implementing DevOps practices for CI/CD to ensure robust and scalable data solutions (nice to have). • Proficient in maintaining code versioning and effective collaboration within a versioncontrolled environment. • Ability to work effectively as an individual contributor and in small teams. Should have experience mentoring junior team members. • Excellent problem-solving and troubleshooting ability with experience of supporting and working with cross functional teams in a dynamic environment. • Strong verbal and written communication skills with ability to communicate effectively, articulate results and issues to internal and client team.

Preferred candidate profile Mandatory Should be an immediate joiner or max notice period 15 Days. Should have min 4 years of experience in Strategy & advanced analytics. Should be well versed with Advance Excel & PowerPoint . Good to have Experience in domains - CPG , Retail & FMCG