Data Engineer

Pune, MH, IN

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Career Opportunity with Burckhardt Compression

 

We are seeking motivated and experienced professional who can effectively contribute to the role deliverables connected with position below. In this position you can actively participate to our growth and make a significant impact in a fast-paced environment as:

 

Position: Data Engineer.

 

Location: Pune.

 

Your contributions to organisation's growth:

 

  • Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence & Databricks for real-time data analytics.
  • Design, implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP, MS Dynamics, on-premise or cloud.
  • Develop an enterprise-scale cloud-based Data Lake for business intelligence solutions.
  • Translate business and customer needs into data collection, preparation and processing requirements.
  • Optimize the performance of algorithms developed by Data Scientists.
  • General administration and monitoring of the data platforms.

 

Competencies:

  • working with structured & unstructured data.
  • experienced in various database technologies (RDBMS, OLAP, Timeseries, etc.).
  • solid programming skills (Python, SQL, Scala is a plus).
  • experience in Microsoft Fabric (incl. Warehouse, Lakehouse, Data Factory, DataFlow Gen2, Semantic Model) and/or Databricks (Spark).
  • proficient in PowerBI.
  • experienced working with APIs.
  • proficient in security best practices.
  • data centered Azure know-how is a plus (Storage, Networking, Security, Billing).

 

  

Expertise you have to bring in along with;

  • Bachelor or Master degree in business informatics, computer science, or equal.
  • A background in software engineering (e.g., agile programming, project organization) and experience with human centered design would be desirable.
  • Extensive experience in handling large data sets.
  • Experience working at least 5 years as a data engineer, preferably in an industrial company.
  • Analytical problem-solving skills and the ability to assimilate complex information.
  • Programming experience in modern data-oriented languages (SQL, Python).
  • Experience with Apache Spark and DevOps.
  • Proven ability to synthesize complex data advanced technical skills related to data modelling, data mining, database design and performance tuning.
  • English language proficiency.

 

Special requirements:

  • High quality mindset paired with strong customer orientation, critical thinking, and attention to detail.
  • Understanding of data processing at scale
  • Influence without authority.
  • Willingness to acquire additional system/technical knowledge as needed.
  • Problem solver.
  • Experience to work in an international organization and in multi-cultural teams.
  • Proactive, creative and innovative.

 

 

We Offer

  • We have a very free culture, inspiring employees to involve in various activities of their interests.
  • Our flexible working models will allow you to combine private interests with work.
  • Employee Connect, Engagement events and feedback culture enhances our reach and gives us an opportunity to continuously improve.
  • Performance and appreciation awards.
  • Sports activities and Klib Library to energize you.
  • We proudly do encourage diversity and inclusion in thoughts and in spirit.
  • A winner of GreenCo Gold and other various ISO certifications, we encourage you to inhibit the same to contribute in a much greener tomorrow!
  • We do aspire to be Great Place to Work soon to provide you an enticing career with us. 

 

HR Team

Burckhardt Compression India

 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile APIs Azure Business Intelligence Computer Science Data Analytics Databricks Dataflow Data Mining Data pipelines DevOps Engineering Industrial OLAP Pipelines Power BI Python RDBMS Scala Security Spark SQL Unstructured data

Perks/benefits: Flex hours Startup environment Team events

Region: Asia/Pacific
Country: India

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