Design, build, and maintain low-code enabled data pipelines, data lakes/warehouses, and data models on cloud (AWS). Ensure data quality, automation, and rapid reporting; collaborate with stakeholders, prototype innovations, and drive a strategic data roadmap.
Key Responsibilities
- Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports.
- Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
- Develop and deploy data models that cater to various business requirements and enable efficient data analysis
- Lead the design of data solutions with a focus on automation, performance, and quick report generation
- Ensure data is readily available for business and analytics consumption and monitor the quality of the data
- Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives
- Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
- Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders
- Communicate complex data solutions in a clear and understandable manner to both experts and non-experts
- Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions
- Stay up-to-date with industry trends and technology advancements in data engineering and analytics
- Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.
Knowledge, Skills, and experience required
- Extensive experience leading AWS and cloud data platform transformations
- Proven track record of delivering large-scale data and analytical solutions in a cloud environment
- Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
- Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
- Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines
- Data Modelling,Python, SQL, NoSQL DBs (Mongo), Snowflake, AWS Cloud, APIs, Tableau, PowerBI, DQ Framework, DWH, Real time reporting
Similar Jobs
Fintech • Information Technology • Financial Services
Design and implement scalable portfolio risk analytics and modeling services using Java and Python. Lead technical design, build application servers and APIs, optimize performance, mentor junior developers, collaborate with quantitative researchers and product managers, and deliver high-throughput, test-validated solutions for Aladdin clients.
Top Skills:
Aladdin PlatformGoogle Protocol BuffersJavaJava 17Java Math Modelling LibrariesJprofilerKafkaMicroservice ArchitectureMqPythonPython Math Modelling LibrariesUbuntu)Unix (Red HatVisualvm
Fintech • Information Technology • Financial Services
Partner with investment, operations, and finance teams to translate business needs into BI dashboards, reporting, automation, and AI-enabled analytics using Power BI and SQL. Identify reporting gaps, capture requirements, and support adoption of AI-driven insights while liaising between business stakeholders and technical teams.
Top Skills:
Ai-Enabled AnalyticsAzurePower BIQlik/QlikviewSnowflakeSQLTableau
Financial Services
Lead design, build, deployment, and support of IBM Planning Analytics/TM1 solutions on AWS. Architect TM1 models, develop PAW/PAfE artifacts, manage TI processes and integrations, establish governance and SDLC controls, lead a TM1 team, drive AI-assisted engineering adoption, and partner with business stakeholders to optimize planning processes and ensure compliance and resiliency.
Top Skills:
ArchitectAWSCi/CdCognos AnalyticsContainerizationDatabricksIbm Cloud For DataIbm Planning AnalyticsPerspectivesPlanning Analytics For Excel (Pafe)Planning Analytics On CloudPlanning Analytics Workspace (Paw)PythonTm1Turbointegrator (Ti)
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
