At a Glance
- Tasks: Design and optimise scalable ELT/ETL pipelines on Snowflake for data solutions.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make an impact by delivering reliable data solutions that power analytics.
- Qualifications: Experience with Snowflake, SQL, Python, and data engineering best practices.
Overall Objectives of the Job We are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data & Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure Synapse with platform administration responsibilities across our cloud data estate. The role holder will design, build, and operate scalable data pipelines while also maintaining the underlying Azure platform — including infrastructure-as-code (Pulumi), CI/CD automation, monitoring, security, and Databricks workspace administration. The ideal candidate combines strong Python/PySpark engineering skills with deep Azure platform knowledge and a service-excellence mindset, ensuring the Allianz Data Technology platform remains secure, reliable, and aligned to Allianz standards Duties and Responsibilities Lead solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog. Develop, test, and document scalable ETL/ELT data pipelines and workflows using Databricks and Azure Synapse to ingest and transform data from a variety of sources. Administer and maintain Azure data platform components including Synapse, Databricks, ADLS Gen2, Key Vault, networking (VNets, NSGs, Managed Private Endpoints) and access control (RBAC, ACLs). Manage infrastructure-as-code across Dev, Staging, and Production environments using Pulumi (and equivalents such as Terraform / Bicep). Design and operate CI/CD pipelines using GitHub Actions (with OIDC federation) and/or Azure DevOps, supporting trunk-based development practices. Administer Databricks workspaces — cluster policies, Secret Scopes, Repos/Git integration, Workflow job health, and Unity Catalog governance. Monitor platform and pipeline health using Azure Monitor, Log Analytics, KQL, and Azure Dashboards; triage and resolve incidents.
Big Data Lead employer: Hexaware
As a Cloud Application Architect at our company, you will thrive in a dynamic and innovative environment that prioritises architectural excellence and technical leadership. We offer a collaborative work culture that encourages continuous learning and professional growth, alongside competitive benefits and a commitment to employee well-being. Located in a vibrant area, our company provides unique opportunities to engage with cutting-edge technologies while making a meaningful impact on our enterprise migration strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hexaware!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Big Data Lead at Hexaware.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hexaware.
✨Apply Directly through Our Website
When you find a suitable opening like Big Data Lead at Hexaware, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Big Data Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hexaware, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hexaware. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hexaware
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hexaware!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
