Data Engineer

Position Name- Data Engineer

No of Positions-2

Exp-4-8 Years

Mode-Hybrid

Location-Pune

NP- 10-15 Days

Your Position

As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards.

Your tasks and responsibilities

You will design and implement data & dashboarding solutions to maximize customer value.

You will deploy and automate the data pipelines and dashboards to enable further project implementation.

You embrace working in an international, diverse team, with an open and respectful atmosphere.

You leverage data by making it available for other teams within our department as well to enable our platform vision.

You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution.

You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology, you will independently create stories and participate in the refinement process.

You collect feedback and always search for opportunities to improve the existing standardized product.

Execute projects from conception through client handover with a positive contribution on technical performance and the organization.

You will take the lead in communication with different stakeholders that are involved in the projects that are being deployed.

Your profile

• Bachelor's or master's degree in computer science, IT, or equivalent and a minimum of 4 to 8 years of experience building and deploying complex data pipelines and data solutions.
• Bachelor's or master's degree in computer science, IT, or equivalent (for junior profiles).
• Experience deploying data pipelines using technologies like Databricks.
• Hands on experience with Java.
• Hands-on experience in Databricks.
• Experience with visualization software, preferably Splunk (or else Grafana, Prometheus, PowerBI, Tableau, or similar).
• Strong experience with SQL , Java with hands-on experience in data modeling.
• Experience with Pyspark or Spark to deal with distributed data.
• Good to have knowledge on Splunk (SPL)
• Experience with data schemas (e.g. JSON / XML / Avro).
• Experience in deploying services as containers (e.g. Docker, Kubernetes).
• Experience in working with cloud services (preferably with Azure).
• Experience with streaming and / or batch storage (e.g. Kafka, streaming platform) is a plus.
• Experience in data quality management and monitoring is a plus.
• Strong communication skills in English.