Sr. Software Engineer - Databricks Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Databricks Professionals in the following areas :

Experience required- 4 to 6

Responsibilities

• Design, develop, and maintain scalable data pipelines to ingest, process, transform, and curate data from multiple enterprise and eCommerce data sources.
• Build and support ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL.
• Develop and maintain reliable, reusable, and high-quality data products that support reporting, analytics, and business intelligence initiatives.
• Implement data transformation and modelling solutions aligned with Medallion Architecture principles.
• Collaborate with business stakeholders, analysts, and product teams to understand requirements and translate them into scalable technical solutions.
• Perform data profiling, validation, reconciliation, and quality monitoring to ensure trusted business data.
• Support analytical and reporting solutions by designing and preparing datasets for Power BI and other reporting tools.
• Analyze data trends and identify opportunities to improve operational performance, data quality, and business outcomes.
• Contribute to the continuous improvement of data engineering standards, platform capabilities, data governance, and best practices.
• Troubleshoot pipeline failures, performance bottlenecks, and data quality issues through root cause analysis and corrective actions.
• Partner with engineering and business teams to deliver scalable solutions aligned to enterprise architecture, security, and governance standards.
• Continuously evaluate and adopt modern engineering practices and AI-enabled productivity capabilities to improve delivery efficiency and solution quality

Required  Skills

• 4+ years of experience as a Data Engineer
• Strong proficiency in SQL for data analysis, transformation, optimization, and data modelling.
• Hands-on experience developing scalable data pipelines using Python and Apache Spark.
• Experience working with Databricks for large-scale data processing and analytics engineering.
• Experience using dbt to develop, test, document, and deploy data transformation frameworks.
• Strong understanding of data warehousing concepts, dimensional modelling, Medallion Architecture, and modern data platform design.
• Experience building trusted datasets and semantic models that support business intelligence and reporting solutions, including Power BI.
• Understanding of data quality, metadata management, lineage, governance, and operational monitoring.
• Familiarity with source control, CI/CD practices, testing frameworks, and automated deployment processes.
• Hands-on experience leveraging AI-assisted development and productivity tools (such as Microsoft Copilot, Copilot CLI, Databricks Genie, and similar AI-powered assistants) to accelerate development of data pipelines, data models, analytical datasets, and reporting solutions while improving code quality, documentation, troubleshooting, and delivery efficiency.
• Understanding of responsible AI practices, including validation of AI-generated outputs, dataprivacy, security, and governance considerations.
• Strong analytical and problem-solving capabilities, with the ability to translate business requirements into scalable technical solutions.
• Effective collaboration and communication skills, with the ability to work across business, analytics, and engineering teams in a global environment.
• Demonstrated ownership mindset with a strong focus on quality, continuous improvement, and delivering business value.

Desired Skills

• Experience working with eCommerce, digital commerce, customer journey, product catalogue, pricing, transaction, order management, or digital channel data.
• Experience designing cloud-native data products and analytics solutions at enterprise scale.
• Exposure to Scala for distributed data processing workloads.
• Experience supporting advanced analytics, machine learning, and AI-driven business solutions.
• Familiarity with data observability, data quality frameworks, and data governance platforms.
• Experience working within Agile product teams and modern software development methodologies.
• Knowledge of real-time, streaming, or event-driven data architectures.
• Experience working with AWS cloud services and cloud-native data engineering architectures.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture