Data Engineer

Enterprise Minds, Inc · India

Data Engineer

Location: Pune

Experience: 5–9 Years

Employment Type: Full-Time

Job Summary

We are looking for an experienced Data Engineer to join our team in Pune. The ideal candidate will have strong hands-on experience in building, deploying, and automating scalable data pipelines and data solutions. You will work on end-to-end data ingestion, processing, data modeling, visualization, and dashboarding solutions while collaborating with global customers and cross-functional teams.

The role requires strong expertise in Databricks, Java, SQL, Spark/PySpark , data modeling, and cloud technologies, preferably Azure .

Key Responsibilities

• Design, develop, and implement scalable data pipelines and data solutions .
• Build end-to-end data ingestion, transformation, and processing pipelines .
• Deploy and automate data pipelines and dashboards for customer implementations.
• Develop and maintain data models, schemas, and data processing workflows .
• Work with distributed data processing technologies such as Apache Spark/PySpark .
• Develop solutions using Databricks for large-scale data processing.
• Build and optimize dashboards and data visualizations using Splunk, Grafana, Power BI, Tableau , or similar tools.
• Develop and maintain data-driven services using Java and SQL.
• Work with structured and semi-structured data formats including JSON, XML, and Avro .
• Deploy applications and data services using Docker and Kubernetes .
• Work with cloud platforms, preferably Microsoft Azure .
• Design and implement batch and streaming data solutions using technologies such as Kafka .
• Ensure data quality, monitoring, reliability, and performance of data pipelines.
• Collaborate with international, cross-functional teams to understand requirements and deliver customer-focused solutions.
• Take ownership of projects from solution design and development through deployment and client handover .
• Participate in Agile/Scrum activities including story creation, refinement, planning, and continuous improvement.
• Communicate effectively with customers, stakeholders, and internal technical teams.

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Information Technology , or a related field.
• 5–9 years of experience in Data Engineering, data pipelines, or data solutions.
• Strong hands-on experience with Databricks .
• Strong programming experience in Java .
• Strong proficiency in SQL and data modeling.
• Hands-on experience with Apache Spark / PySpark .
• Experience with data visualization tools such as Splunk, Grafana, Prometheus, Power BI, or Tableau .
• Good knowledge of Splunk SPL is an advantage.
• Experience working with JSON, XML, Avro , or similar data schemas.
• Experience with Docker and Kubernetes .
• Experience with cloud services, preferably Microsoft Azure .
• Knowledge of Kafka or other streaming platforms is a plus.
• Understanding of data quality, monitoring, and validation .
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication skills in English .

Good to Have

• Experience working with real-time/streaming data pipelines.
• Knowledge of Kafka and event-driven architectures .
• Experience with data quality frameworks and monitoring solutions.
• Experience working in Agile/Scrum environments.
• Experience working with international customers or distributed teams.

Why Join Us?

• Work on innovative data intelligence and analytics solutions .
• Opportunity to work with global customers and multidisciplinary teams .
• Exposure to modern technologies including Databricks, Spark, Azure, Kafka, Docker, Kubernetes, and Splunk .
• Be part of an Agile environment focused on innovation, ownership, and continuous improvement.

Thanks,

Renuka