Senior Data Architect

3 days ago


Chennai, Tamil Nadu, India Blackstraw Full time
Job Description:

We are seeking a skilled Data Engineer to join our team at Blackstraw.ai in Chennai, India. This is a full-time position that requires 6+ years of experience.

The ideal candidate will have strong analytical skills and the ability to combine data from different sources. They should be familiar with several programming languages, including Python and PySpark or Spark and SCALA, as well as knowledge of machine learning methods.

The successful candidate will participate in customer system design meetings, build data pipelines for consumption by the data science team, and be skilled in ETL processes and tools.

They should have experience with Python programs and SQL queries, SQL query tuning, and shell scripting (Unix/Linux). Additionally, they should be able to build and maintain data pipelines in Spark/Pyspark with SQL and Python or SCALA.

A bonus point if you have knowledge of cloud technologies (Azure/AWS/GCP) and concepts like Kubernetes, CI/CD, Apache Kafka.

Key Responsibilities:
  • Develop and implement efficient data pipelines
  • Collaborate with the QA team to define system integration tests
  • Maintain and deploy ETL code
  • Optimize data integration processes wherever possible
Requirements:
  • Master's degree in Computer Science, IT, or related field
  • Hands-on experience with Python and Pyspark or Spark and SCALA
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills

This role offers an estimated salary of ₹1200000 - ₹1500000 per annum, based on industry standards and location.

Why Join Us?

Blackstraw technologies Pvt Ltd. is a fast-moving team that prides itself in rapidly identifying different use-cases and fine-tuning its products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings.



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