Job Description

Data Engineer

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Location: Pune

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Experience: 5–9 Years

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Employment Type: Full-Time

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Job Summary

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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.

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

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Key Responsibilities

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

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

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

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

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Renuka

📌 Data Engineer (Pune)
🏢 Enterprise Minds
📍 Pune