Big Data Developer

• Assist in the development, testing, and maintenance of big data pipelines for processing large volumes of structured and unstructured data.
• Write efficient Python scripts for data ingestion, transformation, and automation.
• Develop and optimize SQL queries to extract, clean, and manipulate data from various databases.
• Work with ETL tools and data integration frameworks to move data across systems.
• Collaborate with data engineers, data scientists, and analysts to ensure reliable data flow and accessibility.
• Monitor and troubleshoot data pipeline performance issues.
• Maintain data quality, consistency, and integrity across all data sources.
• Document technical workflows and participate in code reviews.

Do you have experience in UNIX?, Do you have a Bachelor's degree?, We are seeking a motivated Junior Big Data Developer with strong skills in Python and SQL to join our growing data engineering team. In this role, you will help design, build, and maintain large-scale data processing systems that enable analytics, reporting, and machine learning initiatives. This position is ideal for someone with a passion for data and a desire to develop technical expertise in Big Data technologies., * Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.

• Strong programming skills in Python (experience with libraries such as pandas, PySpark, or SQLAlchemy is a plus).
• Proficiency in SQL with hands-on experience writing complex queries, joins, and data manipulations.
• Basic understanding of data warehousing concepts and ETL processes.
• Familiarity with Big Data ecosystems such as Hadoop, Spark, Hive, or Kafka.
• Knowledge of Linux/Unix environments and command-line tools.
• Strong analytical, problem-solving, and communication skills.
• Eagerness to learn and adapt to new tools and technologies in the data engineering domain.

Preferred Qualifications

• Exposure to cloud platforms like AWS (Glue, EMR, Redshift), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow).
• Experience working with data lakes or data warehouse architectures.
• Familiarity with version control systems (Git) and CI/CD pipelines.
• Internship, coursework, or project experience related to big data or data pipeline development., * Bachelor's (preferred)

• Competitive salary and comprehensive benefits.
• A collaborative, learning-oriented environment that values innovation and teamwork.
• Access to training resources and certifications in cloud and big data platforms.

Job Types: Full-time, Permanent

Pay: £35,000.00-£45,000.00 per year