**Job Title:** Data Engineer**Location:** [Please specify location or indicate if remote]**About Leoforce:** Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. Ira combines advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We believe in fostering a workplace built on respect, integrity, and the freedom to innovate.**Why Join Us?**- Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.- Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.- Collaborative Environment: A culture that values diversity, creativity, and high performance.- Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.**Key Responsibilities:**- Design, build, and maintain robust data pipelines to extract, transform, and load (ETL/ELT) data from multiple sources.- Develop and optimize data architectures using relational and non-relational databases.- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver scalable solutions.- Implement data governance practices including data quality, lineage, and cataloging.- Work with cloud platforms (AWS, Azure, or GCP) to manage data infrastructure and services.- Automate data ingestion, validation, and transformation workflows.- Monitor, troubleshoot, and optimize data systems for performance and reliability.- Maintain comprehensive documentation of processes, data models, and workflows.**Required Skills and Qualifications:**- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.- 3–10 years of experience as a Data Engineer or similar role.- Strong proficiency in SQL and Python/Scala/Java.- Experience with big data technologies (e.g., Spark, Hadoop, Hive, Kafka).- Hands-on experience with cloud platforms like AWS (Redshift, Glue, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).- Proficiency in building and maintaining data warehouses and data lakes.- Familiarity with data orchestration tools (e.g., Apache Airflow, Luigi).- Strong understanding of data modeling, data structures, and ETL frameworks.**Preferred Skills:**- Experience with real-time data processing and streaming platforms (e.g., Kafka, Flink).- Exposure to DevOps practices and CI/CD pipelines for data projects.- Knowledge of data security, privacy regulations, and compliance.- Familiarity with tools like dbt, Snowflake, Databricks, or Looker is a plus.- Certification in AWS/Azure/GCP data engineering is desirable.**Benefits:**- Competitive salary + performance bonuses- Health insurance and wellness programs- Learning & certification reimbursements- Collaborative and inclusive work culture