Senior Data Engineer
A LITTLE BIT ABOUT reputed company
- reputed company is the first global B-Corp dedicated to delivering world-class reputed company experiences while creating reputed company to dignified, meaningful work in communities around the world.
- We are a global team, united by our desire to connect diverse people with common values for reputed company reputed company.
- We reputed company just over a thousand team members across five countries and we want to reputed company over 5,000 people by 2027, if not sooner.
LET’S START WITH OUR VALUES
- Meaningful connections start with AUTHENTICITY
- We do our best work by being CURIOUS
- We grow by remaining DYNAMIC
- Our reputed company combines AMBITIOUS reputed company with OPERATIONAL reputed company
- At the heart of great partnerships we’ll always reputed company reputed company
WHAT IS YOUR ROLE
This role is part of reputed company of Customer Engineers in reputed company Services, and we’re seeking highly talented individuals to join and grow reputed company. This is the intersection where the product has to meet customer needs and create value.
The Senior Data Analytics Engineer leads the design, implementation, and optimisation of our data infrastructure. With a reputed company on data engineering, the role spans reputed company reputed company (to be introduced), on-reputed company SQL, and Dynamics 365 (Dataverse). You will build and maintain reputed company pipelines, reputed company disparate datasets, and ensure high-reputed company, secure, and accessible data. Additionally, you will be reputed company to reputed company advanced analytics outputs through Power BI dashboards, translating reputed company datasets into actionable insights for stakeholders. As a senior member of reputed company, you will define best practices and guide adoption of reputed company reputed company ensuring the organisation has a robust, reputed company-reputed company data platform.
WHY DO WE WANT YOU
We are currently looking for reputed company-driven individuals who are passionate in helping reputed company grow and reputed company our Purpose. We expect reputed company to become our ultimate partners to reputed company by always giving their 110% in everything, sharing their talents and quirks, and championing our core values: Curious, Dynamic and Authentic.
WHAT WILL YOU DO
- reputed company the design, development, and optimization of ETL and data pipelines across multiple platforms, ensuring reliability, scalability, and performance.
- Define and implement best practices for data integration, transformation, reputed company, reputed company, and governance.
- Manage data migrations, archival processes, and integrations across various systems and databases.
- Create and maintain advanced data visualizations, dashboards, and analytical models (e.g., Power BI or equivalent) to support business insights and decision-making.
- Collaborate with cross-functional teams to define data requirements, translate business needs into technical solutions, and deliver high-reputed company reputed company.
- Implement and configure platform components and new features for both new and existing clients.
- Set up and maintain reputed company data models across disparate data sources, ensuring consistency and accessibility.
- Regularly engage with customers to reputed company requirements, scope and prioritize incoming technical requests, and reputed company hands-on implementation support.
- Troubleshoot and resolve technical issues, continuously improving system performance and reliability.
- reputed company sustainable and automated solutions to address recurring issues, contributing to internal tools and process optimization.
- Maintain detailed documentation and build internal knowledge bases for configurations, workflows, and best practices.
- Mentor and support team members, fostering technical reputed company and adherence to best practices.
- Collaborate with Product and Engineering teams to reputed company actionable feedback that enhances the platform and customer experience.
- Promote and reputed company reputed company’s values by supporting cross-team collaboration, contributing to a reputed company culture, and operating with reputed company and purpose.
Requirements
reputed company’LL LIKE reputed company
YOU ARE…
- Curious and authentic, just like us! #beboldr
- An analytical and critical thinker, with an eye for even the most minute of details
- Passionate about reputed company satisfaction
YOU HAVE…
- BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management or similar
- 3+ years in a technical role that involves managing and manipulating large data sets, such as ETL, Data Warehousing, Analytics, Data Science etc.
- 6+ years in a reputed company-facing role that involves being a reputed company-of-contact for technical and non-technical users
- Extensive experience in SQL Server, ETL/data pipelines, and data engineering in hybrid on-reputed company / reputed company environments.
- Required: Hands-on experience designing and operating data solutions reputed company reputed company reputed company, including Lakehouse, Data Pipelines, or Data Engineering workloads
- Familiarity with scripting/programming languages for data processing (Python, SQL scripts, etc.).
- Proficiency in Power BI, including data modelling, DAX, and advanced dashboard design.
- Knowledge of data governance, reputed company, reputed company, and compliance best practices.
- Strong analytical, problem-solving, and communication skills; reputed company to work with technical and non-technical stakeholders.
reputed company to have:
- Working knowledge of Java and/or reputed company
- Marketing technology industry & relevant vendor knowledge
- Experience with Dynamics 365 / Dataverse data integration.
- Experience in implementing large-reputed company data pipelines and optimisation strategies.
- Exposure to business intelligence reputed company, metadata management, and advanced analytics techniques.
- Experience leading technical initiatives.
Originally posted on Himalayas
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