Senior Data Engineer at Flexera

Bengaluru, Karnataka, India

Flexera Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, FinOps, ITAM, SaaSIndustries

Requirements

  • 4-5 years of experience in data engineering or software engineering with a strong data focus
  • 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
  • Experience integrating data pipelines with BI tools such as Power BI to support reporting and visualization needs
  • 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

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

Skills

Key technologies and capabilities for this role

Data PipelinesOracleSQL ServerAI/MLAutomationCloud TechnologiesScalabilityDatabase Systems

Questions & Answers

Common questions about this position

What experience level is required for the Senior Data Engineer role?

The role requires 4-5 years of experience in data engineering or software engineering with a strong data focus.

What technical skills are essential for this position?

Key skills include expertise in building data pipelines with tools like Apache Airflow, Talend, or Azure Data Factory, strong programming in Python, Scala, or Java, and experience with large-scale databases like Oracle and SQL Server, plus cloud platforms such as AWS, Azure, or Google Cloud.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Data Engineer position?

A strong candidate will have proven experience automating manual processes, designing scalable data pipelines for AI/ML, and working with databases like Oracle/SQL Server and cloud platforms, along with expertise in ETL/ELT and tools like Airflow or Azure Data Factory.

Flexera

IT management and software optimization solutions

About Flexera

Flexera provides IT management software and optimization solutions that help businesses control their software and IT costs. Its products enable organizations to manage their technology investments more efficiently, particularly during digital transformation efforts. Flexera's main offerings include IT asset management (ITAM) and software asset management (SAM) tools, which allow clients to track and optimize software usage. Additionally, the company offers cloud management solutions to help businesses manage their cloud resources effectively. Flexera differentiates itself from competitors through its Technology Value Optimization (TVO) approach, which focuses on maximizing the business value from technology expenditures. The company's goal is to help clients achieve a return on investment (ROI) from their technology spending, ensuring that every dollar spent contributes to growth and efficiency.

Itasca, IllinoisHeadquarters
2008Year Founded
$81.4MTotal Funding
BUYOUTCompany Stage
Enterprise SoftwareIndustries
1,001-5,000Employees

Risks

Integration of Snow Software may disrupt services if not managed well.
Rising SBOM demand may strain Flexera's resources and compliance efforts.
Rapid cloud tech evolution could lead to outdated Flexera offerings.

Differentiation

Flexera's Technology Value Optimization maximizes business value from technology investments.
Acquisition of Snow Software enhances Flexera's hybrid IT management capabilities.
Flexera's SBOM management addresses rising cybersecurity threats and regulatory requirements.

Upsides

Recognition as a leader in Cloud Cost Management boosts Flexera's market credibility.
Flexera One FinOps tool optimizes costs and improves IT-finance collaboration.
Technology Intelligence Platform bridges ITAM and FinOps for hybrid IT challenges.

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