Consultant Delivery ( Data Engineer) Worldline

  • company name Worldline
  • working location Office Location
  • job type Full Time

Experience: 5 - 5 years required

Pay:

Salary Information not included

Type: Full Time

Location: Ahmedabad

Skills: ETL tools, SQL, Python, spark, Analytical skills, Strong knowledge of version control systems, CICD pipelines, GCP services, Dataproc, Dataflow, Cloud Functions, Workflows, Cloud Composer, Bigquery, dbt Labs, ETL Best Practices, ProblemSolving Skills

About Worldline

Job Description

Job Description Consultant Delivery ( Data Engineer) About Worldline The Opportunity We are seeking a highly skilled and knowledgeable Data Engineer to join our Data Management team on a transformative Move to Cloud (M2C) project. This role offers a unique opportunity to contribute to a critical initiative, migrating our data infrastructure to the cloud and optimizing our data pipelines for performance and scalability. We welcome applicants from all backgrounds and experiences, believing that our strength lies in our diversity. Technical Skills & Qualifications Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based solutions, preferably within the Google Cloud Platform (GCP) ecosystem. Essential Skills: Strong knowledge of version control systems and CI/CD pipelines. Proficiency in GCP services, particularly DataProc, Dataflow, Cloud Functions, Workflows, Cloud Composer, and BigQuery. Extensive experience with ETL tools, specifically dbt Labs, and a deep understanding of ETL best practices. Proven ability to build and optimize data pipelines, architectures, and datasets from both structured and unstructured data sources. Proficiency in SQL and Python, with experience using Spark. Excellent analytical and problem-solving skills, with the ability to translate complex requirements into technical solutions. Desirable Skills: Relevant certifications in Google Cloud Platform or other data engineering credentials. Preferred Skills Experience migrating data from on-premises data warehouses (e.g., Oracle) to cloud-based solutions. Experience working with large-scale datasets and complex data transformations. Strong communication and interpersonal skills, with the ability to collaborate effectively within a team environment. Why Join Us ,