You have a deep interest and passion for technology. You love writing and owning code and enjoy working with people who challenge you at every stage. You possess strong problem-solving, analytical, decision-making, and excellent communication skills. You are self-driven and motivated, thriving in a fast-paced, results-driven agile environment with varied responsibilities.

What You’ll Do Develop data pipelines, frameworks, applications, and APIs using industry best practices, adapting to new methodologies for increased flexibility and agility. Drive Proof of Concept (POC) and Proof of Technology (POT) evaluations. Build data systems and data quality monitoring processes to ensure the health of big data systems. Review KPIs, monitoring, and alarms for successful production system performance. Collaborate with stakeholders to understand business and reporting needs, proposing and developing creative data solutions to enhance insights, automate processes, and add value. Influence and educate the team by sharing your experience, ideas, and learning. Stay updated with the latest development tools, technology trends, patterns, and methodologies, sharing knowledge with key stakeholders. Publish and update technical architecture and user/process documentation. What You'll Bring Education: Bachelor's degree in Computer Science or a related technical field. Experience: 4+ years of relevant experience in Scala/Python (PySpark), distributed databases, and Kafka, with solid hands-on multi-threading and functional programming expertise. Technical Skills: Strong understanding of CS fundamentals, data structures, algorithms, and problem-solving. Hands-on experience in SQL and query optimization. Experience building frameworks for data ingestion and consumption patterns. Proficiency with orchestration tools like Airflow (preferred), Automic, or Autosys. Hands-on experience in data processing and data manipulation. Expertise with GCP cloud technologies, including GCS, DataProc, DPaaS, BigQuery, and Hive. Experience working with streaming data via Kafka or structured streaming. Exposure to Lambda Architecture. Familiarity with visualization tools for data reporting, such as Tableau, Power BI, or Looker. Soft Skills: Excellent communication and collaboration skills. Strong appreciation for productivity and helping others work more efficiently. Mandatory Skills

Scala/Python (PySpark), Big Data Knowledge, Scripting (Shell/Python), GCP Data Tech Stack, Airflow, CI/CD, Kafka, Distributed Database, SQL/NoSQL.