SoftwareEngineer-IT Rpt&Anltcs

We are seeking a highly skilled and motivated Lead Data & Analytics Engineer to join our dynamic team. This role is crucial in transforming raw data into actionable insights, enabling data-driven decision-making across the organization. The ideal candidate will possess a strong blend of business intelligence development expertise (Power BI or Qlik Sense), robust data engineering capabilities with a focus on Google Cloud Platform (GCP), and a solid understanding of DevOps practices for continuous delivery and operational excellence. You will be instrumental in designing, building, and maintaining scalable data solutions, from data ingestion and transformation to visualization and deployment. Must-Have Qualifications: *Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field. *3-5+ years of hands-on experience in Business Intelligence development using either Power BI or Qlik Sense . *Proficiency in data modeling, dashboarding, reporting, and advanced features (., DAX for Power BI, scripting/set analysis for Qlik Sense). *3-5+ years of strong experience in Data Engineering , with significant hands-on experience on Google Cloud Platform (GCP) or any leading cloud platform. *Expertise with core GCP data services (., BigQuery, Cloud Dataflow, Cloud Storage, Cloud SQL, Cloud Pub/Sub) or equivalent services in any leading cloud platform. *Strong proficiency in SQL and at least one programming language like Python, Java, or Scala for data manipulation and pipeline development. *Extensive experience designing and implementing ETL/ELT processes and managing data warehousing solutions. *Solid understanding and practical experience with DevOps principles and practices *Experience with CI/CD tools (., Jenkins, GitLab CI, Cloud Build) and version control systems (., Git). *Familiarity with Infrastructure as Code (IaC) tools (., Terraform, Ansible). *Experience with containerization (Docker) and orchestration (Kubernetes, Astronomer . *Strong analytical, problem-solving, and critical thinking skills with meticulous attention to detail. *Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. *Experience working in an Agile development environment. Nice-to-Have Qualifications: *GCP Data Engineer or DevOps certification. *Experience with other cloud platforms (AWS, Azure). *Familiarity with big data technologies like Apache Spark or Hadoop ecosystems. *Experience with data governance, security, and compliance principles (., GDPR, HIPAA). *Knowledge of streaming data processing (., Apache Kafka, GCP Pub/Sub). *Experience with other BI tools (., Tableau, Looker). *Prior experience mentoring junior team members. undefined