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For Companies At a Glance
- Tasks: Build data pipelines and collaborate on innovative data solutions in a cloud environment.
- Company: Join a forward-thinking tech company focused on data engineering excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for the business.
- Qualifications: 5+ years in data engineering with expertise in cloud platforms and big data tools.
- Other info: Dynamic team environment with endless learning and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As Data Engineer, you will support the Data Engineering team in setting up the Data Lake on Cloud and the implementation of standardized Data Model, single view of customer. You will develop data pipelines for new sources, data transformations within the Data Lake, implementing GRAPHQL, work on NO SQL Database, CI/CD and data delivery as per the business requirements.
Responsibilities
- Build pipelines to bring in a wide variety of data from multiple sources within the organization as well as from social media and public data sources.
- Collaborate with cross-functional teams to source data and make it available for downstream consumption.
- Work with the team to provide an effective solution design to meet business needs.
- Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
- Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering team.
- Ensure timelines (milestones, decisions and delivery) are managed and achieved, without compromising quality and within budget.
- Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
- Ensure final handover of initiative to business-as-usual processes, carry out a post-implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learnt are included in future processes.
Qualifications
Who we are looking for:
- Expertise in Databricks
- Experience with at least one Cloud Infra provider (Azure/AWS)
- Experience in building data pipelines using batch processing with Apache Spark (SparkSQL, Dataframe API) or Hive query language (HQL)
- Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Data Lake
- Knowledge of NOSQL databases.
- Expertise in Cosmos DB, Restful APIs and GraphQL
- Knowledge of Big data ETL processing tools, Data modelling and Data mapping.
- Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
- Basic knowledge of scripting (shell / bash)
- Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
- Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
- Basic understanding of DevOps practices using Git version control
- Ability to debug, fine-tune and optimize large scale data processing jobs
- Excellent problem analysis skills
Experience
5+ years (no upper limit) of experience working with Enterprise IT applications in cloud platform and big data environments.
Professional Qualifications
Certifications related to Data and Analytics would be an added advantage.
Data Engineer in Penarth employer: BLAZECORP PTE. LTD.
Contact Detail:
BLAZECORP PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Penarth
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data engineering field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know when a casual chat could lead to your next big opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, transformations, and any cool projects you've worked on. This is your chance to demonstrate your expertise in Databricks, Apache Spark, and all those fancy tools you know inside out.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you’d explain your experience with cloud providers like Azure or AWS, and be ready to discuss your approach to building effective data solutions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data engineers. Make sure your application stands out by tailoring it to highlight your relevant experience and skills that match what we’re looking for.
We think you need these skills to ace Data Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud infrastructure, and any relevant technologies like Databricks or Apache Spark. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them in your application. Whether it's building data pipelines or working with NoSQL databases, we love seeing real-world examples of your work and how you tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at BLAZECORP PTE. LTD.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Apache Spark, and NoSQL databases. Brush up on your knowledge of cloud providers like Azure or AWS, as well as CI/CD tools. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data pipelines and transformations. Think about past experiences where you’ve built data solutions or collaborated with cross-functional teams. Prepare specific examples that highlight your problem-solving skills and how you managed risks or challenges.
✨Understand the Business Context
Familiarise yourself with the company’s business model and how data plays a role in their strategy. This will help you articulate how your work as a Data Engineer can directly impact their goals. Showing that you understand the bigger picture will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team’s current projects, challenges they face, or how they measure success in data initiatives. This not only shows your interest but also gives you valuable insights into the role and the company culture.
