Data Engineer

Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights. You will partner with cross‑functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high‑quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision‑making. What you will do Data Architecture and Platform Development Design, build, and optimize scalable data infrastructure for risk and compliance workloads Develop batch and streaming pipelines using modern big data technologies Implement robust ETL and ELT workflows across diverse structured and unstructured data sources Cloud Data Engineering Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools Build high‑throughput, low‑latency systems that support real‑time or near‑real‑time decision making Collaboration and Delivery Partner with data scientists, analysts, and engineering teams to deliver reliable and well‑documented datasets Translate business requirements into technical specifications and scalable data solutions Mentor team members and contribute to best practices and reusable frameworks within Solvd Automation and Continuous Improvement Streamline reporting, analytics, and data preparation processes Replace manual workflows with automated, repeatable systems Support ongoing performance tuning, monitoring, and platform optimization Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar 3 or more years of hands‑on experience in data engineering or related fields Strong proficiency in SQL and data modeling for analytics and warehousing Experience building ETL or ELT pipelines at scale Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR Knowledge of distributed systems and data storage principles Basic scripting skills in Python or Scala Familiarity with machine learning concepts Preferred Qualifications Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda Experience working with non‑relational data stores such as document, key‑value, column‑family, or graph databases Experience collaborating with cross‑functional risk, compliance, or analytics teams Strong understanding of data governance, quality, and security best practices Benefits Shape real‑world AI‑driven projects across key industries, working with clients from startup innovation to enterprise transformation. Be part of a global team with equal opportunities for collaboration across continents and cultures. Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Solvd is an equal opportunity employer. #J-18808-Ljbffr