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- Tasks: Join our data engineering team to design and maintain ETL pipelines using Talend, Python, and Spark.
- Company: We are a forward-thinking company focused on leveraging data for impactful solutions.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values innovation and collaboration while making a real impact.
- Qualifications: Experience with Talend, Python, and Big Data ecosystems is essential; familiarity with cloud platforms is a bonus.
- Other info: Ideal for tech-savvy individuals eager to enhance their skills in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a skilled ETL Developer with hands-on experience in Talend, Python, and Spark, to join the data engineering team. The ideal candidate will be responsible for designing, building, and maintaining ETL pipelines that support data extraction, transformation, and loading from various sources into target systems.
Key Responsibilities:
- Design, build, and maintain ETL workflows using the Talend ETL toolset.
- Develop ETL solutions for extracting and transforming data from various sources such as Cloudera, PostgreSQL, and SQL Server.
- Create and manage database schemas, tables, and constraints based on business requirements.
- Collaborate with cross-functional teams to understand source systems and ensure accurate data mapping and transformation.
- Write transformation logic using ETL tools or scripting languages like SQL and Python.
- Ensure data is clean, validated, and aligned with target schema and data quality standards.
- Contribute to data quality improvement initiatives and proactively resolve data inconsistencies.
- Participate in troubleshooting and performance tuning of ETL jobs and workflows.
Required Skills & Qualifications:
- Proven experience with Talend, Python, and Apache Spark.
- Strong understanding of relational databases and Big Data ecosystems (Hive, Impala, HDFS).
- Solid experience in data warehousing and data modelling techniques.
- Familiarity with data quality management and best practices.
- Experience with data visualization and analytics tools is a plus.
Nice to Have:
- Experience with scheduling tools and CI/CD pipelines.
- Knowledge of data governance frameworks and practices.
- Exposure to cloud platforms like AWS, Azure, or GCP is a plus.
Talend Big Data Developer employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Talend Big Data Developer
✨Tip Number 1
Familiarise yourself with Talend's features and functionalities. Consider exploring online tutorials or documentation to deepen your understanding of how to effectively use the tool, as this will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Talend and Big Data technologies. Engaging in relevant forums or LinkedIn groups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data quality management. Be ready to share specific examples of challenges you've faced and how you resolved them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in Big Data and cloud technologies. Showing that you're knowledgeable about current developments can impress interviewers and highlight your commitment to continuous learning.
We think you need these skills to ace Talend Big Data Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Talend, Python, and Spark. Include specific projects where you've designed and maintained ETL pipelines, as well as any relevant data warehousing or modelling techniques you've used.
Craft a Strong Cover Letter: In your cover letter, emphasise your hands-on experience with the required technologies and your understanding of Big Data ecosystems. Mention how your skills align with the responsibilities listed in the job description.
Showcase Relevant Projects: If you have worked on projects involving data extraction, transformation, and loading, be sure to describe these in your application. Highlight your role, the tools you used, and the outcomes of the projects.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, mention any experiences where you've collaborated with others to achieve a common goal. This could include working on data mapping or troubleshooting ETL jobs.
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Talend, Python, and Spark during the interview. Be prepared to discuss specific projects where you designed and built ETL pipelines, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Understand the Data Ecosystem
Familiarise yourself with the Big Data ecosystems mentioned in the job description, such as Hive, Impala, and HDFS. Being able to discuss how these technologies integrate with Talend and your experience using them will show that you have a comprehensive understanding of the data landscape.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to troubleshoot and optimise ETL workflows. Think of examples from your past experiences where you improved data quality or resolved inconsistencies, as this will illustrate your analytical skills and attention to detail.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, be ready to discuss how you’ve collaborated with others in previous roles. Highlight your communication skills and how you ensure accurate data mapping and transformation, as this is crucial for success in the position.
