go to searchsenior data software engineer
Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of data analytics technologies. We are seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment. As a Senior Data Software Engineer, you will be responsible for building and maintaining complex data pipelines, data models, and data analytics solutions. You will also be responsible for turning data science models into production-ready solutions using your expertise in Python, Spark, and Databricks.
- Designing and developing data processing pipelines using Apache Spark and Databricks
- Building and maintaining data models and analytics solutions using Python programming language
- Deploying and monitoring machine learning models in production environments using MLOps techniques
- Collaborating closely with data scientists to turn their models into production-ready solutions
- Designing and implementing data quality checks and data validation processes
- Ensuring the scalability, reliability, and high performance of data pipelines and analytics solutions
- Providing technical guidance to junior team members and mentoring them to enhance their skills and grow their careers
- Working with stakeholders to understand their needs and translate them into technical requirements
- Collaborating with cross-functional teams to achieve project goals
- Actively contributing to architectural and technical discussions
- At least 3+ years of experience in data software engineering
- Deep knowledge of Apache Spark for building scalable and high-performance data processing pipelines
- Experience with Microsoft Azure for cloud-based infrastructure and application management
- Expertise in Python programming language for developing and maintaining data models and analytics solutions
- Familiarity with forecasting models for time-series analysis in data analytics
- Experience with MLOps for deploying and monitoring machine learning models in production environments
- Familiarity with Git for version control and collaboration
- Experience with Databricks for collaborative data science and data engineering
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
- Knowledge of Panda is a plus
- Good understanding of SQL and relational tables
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benefits for locations
- Insurance Coverage
- Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
- Financial assistance for medical crisis
- Retiral Benefits – VPF and NPS
- Customized Mindfulness and Wellness programs
- EPAM Hobby Clubs
- Hybrid Work Model
- Soft loans to set up workspace at home
- Stable workload
- Relocation opportunities with ‘EPAM without Borders’ program
- Certification trainings for technical and soft skills
- Access to unlimited LinkedIn Learning platform
- Access to internal learning programs set up by world class trainers
- Community networking and idea creation platforms
- Mentorship programs
- Self-driven career progression tool
