Osttra Hiring Drive 2024 For Sr Data Engineer

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Osttra Hiring Drive 2024: Osttra Hiring Drive 2024 for its Sr Data Engineer. Osttra Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a university degree in Computer Science, Engineering, Mathematics, or related disciplines. If you are interested, please apply as soon as possible.

Company Name: Osttra

Role: Sr Data Engineer

Location: Across India

Experience: 1 – 7 years

Qualification: University degree in Computer Science, Engineering, Mathematics, or related disciplines.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Osttra Hiring Drive 2024

Job Description:

  • To collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs.
  • To design, construct, install, and maintain large-scale processing systems and other infrastructure.
  • To build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data.
  • To implement ETL processes to acquire, validate, and process incoming data from diverse sources.
  • To ensure data architecture and model adhere to compliance, privacy, and security standards.
  • To work in conjunction with data scientists to optimize data science and machine learning algorithms and models.
  • To provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors.
  • To manage the deployment of analytics solutions into production and maintain them.
  • To maintain high-quality processes and deliver projects in collaborative Agile team environments.


  • 5 – 7+ years of programming experience particularly in Python, R, Java or C#.
  • 3 – 4+ years of experience working with SQL or NoSQL databases.
  • 1+ years of experience working with Pyspark.
  • University degree in Computer Science, Engineering, Mathematics, or related disciplines.
  • Strong understanding of big data technologies such as Hadoop, Spark, or Kafka.
  • Demonstrated ability to design and implement end-to-end scalable and performant data pipelines.
  • Experience with workflow management platforms like Airflow.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment
  • Experience working with git or other source control tools
  • Experience working with Oil, gas, and energy markets.
  • Familiarity with BI Visualization applications (e.g. Tableau, Power BI).
  • Understanding of cloud-based services, preferably AWS.
  • Experience working with Unified analytics platforms like Databricks.
  • Experience in managing and deploying containerized applications using Docker, Kubernetes, or similar technologies.
  • Machine learning/Data Science experience


  • data science
  • Machine learning
  • Agile
  • HTTP
  • Data quality
  • Analytics
  • SQL
  • Python
  • Data Architecture

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