Data Engineer

Role Overview: As a data engineer in Pune, you will be responsible for delivering data intelligence solutions to customers globally. Your primary tasks will include implementing and deploying a product that provides insights into material handling systems" performance. You will collaborate with a dynamic team to build end-to-end data ingestion pipelines and deploy dashboards. Key Responsibilities: - Design and implement data & dashboarding solutions to maximize customer value. - Deploy and automate data pipelines and dashboards to facilitate further project implementation. - Work in an international, diverse team with an open and respectful atmosphere. - Make data available for other teams within the department to support the platform vision. - Communicate and collaborate with various groups within the company and project team. - Work independently and proactively with effective communication to provide optimal solutions. - Participate in an agile team, contribute ideas for improvements, and address concerns. - Collect feedback and identify opportunities to enhance the existing product. - Lead communication with stakeholders involved in the deployed projects. - Execute projects from conception to client handover, ensuring technical performance and organizational contribution. Qualifications Required: - Bachelor's or master's degree in computer science, IT, or equivalent. - Minimum of 4 to 8 years of experience in building and deploying complex data pipelines and solutions. - Hands-on experience with Java and Databricks. - Familiarity with visualization software such as Splunk, Grafana, Prometheus, PowerBI, or Tableau. - Strong expertise in SQL, Java, data modeling, and data schemas (JSON/XML/Avro). - Experience with Pyspark or Spark for distributed data processing. - Knowledge of deploying services as containers (e.g., Docker, Kubernetes) and working with cloud services (preferably Azure). - Familiarity with streaming and/or batch storage technologies (e.g., Kafka) is advantageous. - Experience in data quality management, monitoring, and Splunk (SPL) is a plus. - Excellent communication skills in English. (Note: No additional details of the company were provided in the job description.),