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Senior Data Engineer @ Flexera Software

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 Senior Data Engineer

Job Description

We are seeking a skilled and motivated Senior Data Engineer to join our Automation, AI/ML team. In this role, you will work on designing, building, and maintaining data pipelines and infrastructure to support AI/ML initiatives, while contributing to the automation of key processes. This position requires expertise in data engineering, cloud technologies, and database systems, with a strong emphasis on scalability, performance, and innovation.
Key Responsibilities:
  • Identify and automate manual processes to improve efficiency and reduce operational overhead.
  • Design, develop, and optimize scalable data pipelines to integrate data from multiple sources, including Oracle and SQL Server databases.
  • Collaborate with data scientists and AI/ML engineers to ensure efficient access to high-quality data for training and inference models.
  • Implement automation solutions for data ingestion, processing, and integration using modern tools and frameworks.
  • Monitor, troubleshoot, and enhance data workflows to ensure performance, reliability, and scalability.
  • Apply advanced data transformation techniques, including ETL/ELT processes, to prepare data for AI/ML use cases.
  • Develop solutions to optimize storage and compute costs while ensuring data security and compliance.
Required Skills and Qualifications:
  • Experience in identifying, streamlining, and automating repetitive or manual processes.
  • Proven experience as a Data Engineer, working with large-scale database systems (e.g., Oracle, SQL Server) and cloud platforms (AWS, Azure, Google Cloud).
  • Expertise in building and maintaining data pipelines using tools like Apache Airflow, Talend, or Azure Data Factory.
  • Strong programming skills in Python, Scala, or Java for data processing and automation tasks.
  • Experience with data warehousing technologies such as Snowflake, Redshift, or Azure Synapse.
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Familiarity with tools such as Databricks, MLflow, or H2O.ai for integrating data engineering with AI/ML workflows.
  • Experience with DevOps practices and tools, such as Jenkins, GitLab CI/CD, Docker, and Kubernetes.
  • Knowledge of AI/ML concepts and their integration into data workflows.
  • Strong problem-solving skills and attention to detail.
Preferred Qualifications:
  • Knowledge of security best practices, including data encryption and access control.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Exposure to Databricks for data engineering and advanced analytics workflows.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Flexera Software
Location(s): Kolkata

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Keyskills:   Procurement Automation data security SCALA Data processing Apache Operations SQL Python Data extraction

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Flexera Software

Company DetailsFlexera Software, Inc.