We are looking for an experienced and highly skilled Senior Data Engineer to lead the design and development of our data infrastructure and pipelines. As a key member of the Data & Analytics team, you will play a pivotal role in scaling our data ecosystem, driving data engineering best practices, and mentoring junior engineers. This role is ideal for someone who thrives on solving complex data challenges and building systems that power business intelligence, analytics, and advanced data products. Key Responsibilities: Design and build robust, scalable, and secure data pipelines and models. Lead the complete lifecycle of ETL/ELT processes, encompassing data intake, transformation, and storage including the concept of SCD type2. Collaborate with data scientists, analysts, backend and product teams to define data requirements and deliver impactful data solutions. Maintain and oversee the data infrastructure, including cloud storage, processing frameworks, and orchestration tools. Build logical and physical data model using any data modeling tool Champion data governance practices, focusing on data quality, lineage tracking, and catalog management. Guarantee adherence of data systems to privacy regulations and organizational guidelines. Guide junior engineers, conduct code reviews, and foster knowledge sharing and technical best practices within the team. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Minimum of 5 years of practical experience in a data engineering or comparable position. Demonstrated expertise in SQL and Python (or similar languages such as Scala/Java). Extensive experience with data pipeline orchestration tools (e.g., Airflow, dbt, ). Proficiency in cloud data platforms, including AWS (Redshift, S3, Glue), or GCP (BigQuery, Dataflow), or Azure (Data Factory, Synapse). Familiarity with big data technologies (e.g., Spark, Kafka, Hive) and other data tools. Solid grasp of data warehousing principles, data modeling techniques, and performance tuning. (e.g. Erwin Data Modeler, MySQL Workbench) Exceptional problem-solving abilities coupled with a proactive and team-oriented approach.
We are seeking a strategic and innovative Senior Data Scientist to join our high-performing Data Science team. In this role, you will lead the design, development, and deployment of advanced analytics and machine learning solutions that directly impact business outcomes. You will collaborate cross-functionally with product, engineering, and business teams to translate complex data into actionable insights and data products. Key Responsibilities Lead and execute end-to-end data science projects, encompassing problem definition, data exploration, model creation, assessment, and deployment. Develop and deploy predictive models, optimization techniques, and statistical analyses to address tangible business needs. Articulate complex findings through clear and persuasive storytelling for both technical experts and non-technical stakeholders. Spearhead experimentation methodologies, such as A/B testing, to enhance product features and overall business outcomes. Partner with data engineering teams to establish dependable and scalable data infrastructure and production-ready models. Guide and mentor junior data scientists, while also fostering team best practices and contributing to research endeavors. Required Qualifications & Skills: Masters or PhD in Computer Science, Statistics, Mathematics, or a related discipline. 5+ years of practical experience in data science, including deploying models to production. Expertise in Python and SQL; Solid background in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost. Competence in data visualization tools like Tableau, Power BI, matplotlib, and Plotly. Comprehensive knowledge of statistics, machine learning principles, and experimental design. Experience with cloud platforms (AWS, GCP, or Azure) and Git for version control. Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD). Familiarity with NLP, time series forecasting, or recommendation systems is a plus. Knowledge of big data technologies (Spark, Hive, Presto) is desirable.
We are seeking a highly experienced Senior Power BI Architect to lead the design, implementation, and governance of Power BI solutions across the enterprise. The ideal candidate will bring advanced knowledge in data architecture, Azure BI stack integration, and enterprise-scale reporting solutions. This is a leadership role involving architecture ownership, stakeholder engagement, and technical mentorship across multiple teams. Key Responsibilities: Architect Enterprise BI Solutions: Design and implement scalable Power BI architecture across complex enterprise environments, ensuring alignment with data strategy and business objectives. Data Architecture Leadership: Lead the design of semantic models, complex data transformations, and optimized DAX calculations across large data sets and distributed systems. Power BI Governance: Define and implement Power BI governance strategy, including workspace management, contentlifecycle, usage monitoring, version control, and security protocols. Azure Ecosystem Integration: Architect and optimize BI solutions integrated with Azure services including Azure Synapse, Data Lake, Data Factory, Azure SQL, and Purview. Enterprise Data Strategy: Contribute to enterprise data architecture decisions, including modelling standards, metadata management, data quality, and master data strategies. Mentorship & Enablement: Provide technical leadership and mentorship to BI developers, analysts, and business users; establish enterprise standards for data visualization, reporting, and performance optimization. Performance & Scalability: Drive tuning and optimization of Power BI models, datasets, and reports for enterprise-scale usage (millions of rows, complex logic, large user base). Stakeholder Collaboration: Work with senior executives, data owners, and cross-functional teams to define KPIs, align BI outputs with strategic goals, and translate complex requirements into robust solutions. Requirements: Bachelors degree in computer science, Information Technology, or related field. 8+ years of experience in Power BI Architecture. Advanced Power BI (DAX, Power Query, Dataflows, Composite Models) Azure Synapse, Azure Data Factory, Azure SQL, Azure Purview SQL & Data Modelling (Star Schema, Snowflake, Normalization) Power BI Governance and Security best practices Stakeholder Management & BI Strategy alignment Excellent communication and mentoring skills Preferred Qualifications: Microsoft Certified: Power BI/Data Engineering certifications Exposure to Power Platform, Python or R (for advanced analytics) Experience in Agile BI delivery model
We are seeking a highly experienced Senior UX Developer with strong expertise in creating user-centric designs, seamless interfaces, and engaging user experiences. The ideal candidate will combine technical proficiency with a deep understanding of design principles to deliver scalable, accessible, and aesthetically refined applications. Key Responsibilities: Lead the end-to-end UX design and development process for web and mobile applications. Collaborate with product managers, business analysts, and engineering teams to define and deliver intuitive user experiences. Develop wireframes, prototypes, and user flows to effectively communicate design concepts. Ensure design consistency, responsiveness, and accessibility across platforms and devices. Conduct user research, usability testing, and incorporate feedback into design improvements. Stay updated with emerging UX/UI trends, tools, and best practices. Mentor junior designers/developers and contribute to establishing UX guidelines and design systems. Required Skills & Qualifications: Bachelors degree in Design, Computer Science, or related field (Master’s preferred). 8+ years of proven experience in UX/UI design and front-end development. Proficiency in tools like Figma, Sketch, Adobe XD, or similar. Strong knowledge of HTML5, CSS3, JavaScript, and responsive design frameworks. Hands-on experience with ReactJS/Angular or equivalent front-end frameworks. Familiarity with accessibility standards (WCAG) and cross-browser compatibility. Excellent problem-solving, communication, and collaboration skills. Preferred Skills: Experience with motion design, micro-interactions, or animation libraries. Knowledge of design systems and component-based design architecture. Exposure to Agile/Scrum methodologies
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