Digital Marketing Executive

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

We are seeking an experienced and driven SEO Manager to lead our SEO team and develop strategic plans to increase organic traffic, improve search rankings, and drive overall SEO performance for TrustCapital.com.

Key Responsibilities:

• Develop and execute comprehensive SEO strategies to improve rankings and drive organic traffic.
• Oversee the SEO team, ensuring alignment with business objectives and cross-functional collaboration.
• Perform regular SEO audits to identify opportunities for improvement.
• Monitor, analyze, and report on SEO performance using tools like Google Analytics, SEMrush, and Ahrefs.
• Stay up-to-date with the latest SEO trends and best practices.

Skills & Experience:

• 5+ years of experience in SEO, with a proven track record in improving organic traffic.
• Strong leadership and team management skills.
• Expertise in technical SEO, content SEO, and link-building strategies.
• Proficiency with SEO tools (Google Search Console, SEMrush, Ahrefs, etc.).

Experience: 3+ years

Responsibilities:

• Build, train and fine tune ML models
• Develop features to improve model accuracy and outcomes.
• Deploy models into production using Docker, kubernetes and cloud services.
• Proficiency in Python, MLops, expertise in data processing and large scale data set.
• Hands on experience in Cloud AI/ML services.
• Exposure in RAG Architecture

Android Developer

Ability to design and implement and maintain highly complex systems and
subsystems.
● Writing well-designed, testable and efficient code.
● Designing and developing advanced applications for the Android platform.
● Working as a part of a dynamic team to deliver winning products.
● Troubleshoot, debug and optimize existing applications
.
Requirements:
● Bachelor's degree in Computer Science, related technical field or equivalent
practical experience
● Strong logical and analytical skills
● Should be adaptable and fast learner
● Experience in computer science, data structures, algorithms and software design.
● Experience in Software Development and coding in any general purpose
programming language.
● Should have an interest in android development

Location: Noida

• Define and document detailed requirements detailing market opportunities and associated technical integrations in collaboration with architects, engineers, and key stakeholders with ISVs and strategic partners.
• Drive product execution across a large set of engineers, product designers, and product managers.
• Collaborate with Product Marketing on company Platform collaterals and sales tools such as articles, datasheets, white papers, blogs, how-to videos, demos, etc.
• Conduct usability testing interviews to gather feedback on Product integration prototypes.
• Identify market opportunities and conduct customer/user research interviews in conjunction with lead Product Managers.
• Deliver product management analysis, including market requirements, and customer experience artifacts.
• Develop a deep understanding of the RDBMS competitive market landscape and product analysis.
• Own the roadmap of active and future projects and maintain the backlog of features and priorities.
• Be outcome and KPI drove to achieve growth of your products and take the right actions accordingly.
• Work with the engineering and product team to ensure proper investment and execution in support of your strategy.
• Communicate regularly with senior leadership on status, risks, and change control.

Requirements:

• Have 5+ years of relevant experience in a technical role, with at least 3 years of those in a product management role.
• Have experience defining a roadmap and managing incremental execution through successful launches.
• Detail-oriented and able to understand the bigger picture by using your technical expertise and problem-solving abilities to prioritize and manage blocking issues.
• Thrive in the dynamic environment that comes with being part of a fast-moving startup. That means flexibility as well as dealing with ambiguity.
• Experience working across organizations with Sales, Marketing, Support, Product, Engineering, and Design.
• 2+ years experience in data infrastructure or related IaaS products and/or services; AWS and/or Google Cloud background preferred.
• Strong communication skills, analytical skills, and data-driven product decision-making mindset.
• Experience with product management planning and design tools - Confluence, JIRA, Balsamiq, AHA!

Nice to have:

• Strong proficiency in the big data ecosystem e.g. Kafka, Spark, or similar technologies.
• Technically savvy and experienced with the cloud, APIs, enterprise software.
• Worked on data platforms or streaming applications.