Greetings from
Blue Altair
!
About Blue Altair:
Have you thought about the role you'll play in the AI universe of tomorrow?At Blue Altair, we believe each employee is a star—full of diverse elements that emit brilliant light. Just as stars illuminate the night sky, our team members light up the business and technology world with their talent, creativity, and dedication.Blue Altair is an innovative, industry-recognized consulting firm that leverages transformative technologies to enable AI and drive digital success for its clients. Founded in 2015, our services span Assessment and Strategy, Technology Implementation, and Managed Services across API Management and Integration, Data Management, Digital Application Development, and Data Science and AI. We are proud to exceed industry standards for project success, thanks to our expert focus on program and project management, business analysis, and quality assurance.Working at Blue Altair means being part of a vibrant, dynamic team that drives digital change and empowers clients to embrace AI transformations. No matter the role you fill, you'll help shape the digital future and make a real difference.So, if you're a star ready to shine even brighter, we can't wait to meet you. Join us at Blue Altair—where we're not just transforming businesses but shaping the AI universe one star at a time!
Requirements
Job Overview:
Title: Sr. Data EngineerExperience: 5+ yearsLocation: Pune/Bangalore
We are looking for a Data Engineer who is passionate about designing and building scalable, data-driven solutions. In this role, you'll be responsible for developing robust data pipelines, implementing cloud-based architectures, and enabling advanced analytics and machine learning initiatives.You will work closely with cross-functional teams — including data analysts, data scientists, and business stakeholders — to ensure that high-quality, secure, and well-structured data is available for insight generation and strategic decision-making.
Job Responsibilities:
- Design, build, and optimize data pipelines and workflows across various data sources and platforms
- Architect and implement new data solutions using Azure technologies such as Azure Databricks, Azure Data Factory, and Azure DevOps
- Collaborate with stakeholders to translate business and analytical requirements into scalable technical data models
- Develop data integration strategies using Python, PySpark, and SQL to support analytics, reporting, and ML initiatives
- Contribute to data architecture design, including ingestion, transformation, and delivery layers
- Participate in CI/CD pipeline development and deployment for data engineering projects
- Work independently and collaboratively in agile environments to deliver high-quality, production-ready data solutions
- Stay updated with emerging tools, frameworks, and methodologies in the data engineering ecosystem
Skills:
- Proficiency in Python, PySpark, and SQL with a solid understanding of ML libraries
- Strong expertise in Azure cloud ecosystem — particularly Databricks, Data Factory, and DevOps
- Hands-on experience implementing CI/CD principles for data workflows
- Good understanding of API/web service and data security practices
- Experience working with relational databases (SQL Server, Oracle, MySQL, etc.)
- Excellent communication, collaboration, and problem-solving skills
- Passion for innovation, automation, and continuous learning in the data domain
Benefits
In addition to a competitive compensation package, we offer abundant opportunities for you to achieve, excel, and surpass even your own expectations. Aligned with Blue Altair's challenger ethos, we present the Star Elements program, inspired by the composition of stars themselves, comprising diverse elements that give unique qualities and illuminate for thousands of years. Likewise, our initiative aims to facilitate brilliance in our employees. The Star Elements program encompasses a range of benefits, supporting our team across four pivotal facets of their lives and careers. Through Star Elements, our employees can fully realize their potential, both on personal and professional fronts.
