Big Data Pipeline Developer
2 weeks ago
P.A Consulting Services Ltd is a leading global consulting firm that helps businesses drive innovation and transformation. With a diverse team of experts, we deliver cutting-edge digital solutions to complex business challenges. Our commitment to diversity, inclusion, and employee growth enables us to bring ingenuity to life and deliver enduring results for our clients.
Job Summary:
We are seeking an experienced Data Engineer to join our team in Belfast, UK. As a Data Engineer, you will design, build, and maintain large-scale data solutions and applications using AWS data and analytics services. This is an excellent opportunity to develop your skills in data engineering, collaborate with cross-functional teams, and contribute to the success of our clients.
Key Responsibilities:
* Design and deploy ETL pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL, and other relevant tools.
* Collaborate with engineering teams to integrate data engineering components into production systems.
* Develop expertise in data cleaning, wrangling, visualization, and reporting, leveraging best-in-class tools and applications.
* Travel to client sites as required, considering company policies and procedures.
Requirements:
* 2+ years of experience in designing and deploying production data pipelines, including knowledge of data mining, machine learning, and natural language processing.
* Proficiency in AWS cloud technologies, including EMR, Glue, RedShift, Kinesis, Lambda, and DynamoDB.
* Strong understanding of stream and batch processing, as well as modern software development lifecycles.
* Experience working in Agile teams and familiarity with Scrum ceremonies.
* Excellent communication and problem-solving skills.
What We Offer:
* Competitive salary ranging from £60,000 to £80,000 per annum.
* Private medical insurance and travel allowance.
* 25 days annual leave, plus 5 additional days available for purchase.
* Company pension scheme and performance-based bonus opportunities.
* Tax-efficient benefits, flexible working arrangements, and a commitment to work-life balance.
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