Website:
agilegridsolution.com
Job details:
About The Company
Zen Data Shastra is a distinguished hybrid consulting firm dedicated to empowering organizations with advanced data science and analytics capabilities. Our core philosophy centers around asking the right questions to uncover meaningful insights and delivering scalable, consumption-driven solutions. Leveraging our proprietary problem-solving framework, we guide clients through defining, executing, and deploying analytics initiatives that drive tangible business value. Our comprehensive suite of services spans full-stack data capabilities, including Data Engineering, Data Science, and Decision Science, with a strong emphasis on artificial intelligence and machine learning applications across various industries. With a proven track record of collaborating with over ten Fortune 500 companies globally, Zen Data Shastra is committed to transforming data into strategic assets that influence decision-making and foster innovation.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic team, responsible for designing, developing, and managing complex data sets and ETL processes within the Azure ecosystem. This role demands a professional with strong collaboration skills and the ability to work independently on high-stakes projects. The successful candidate will be involved in a fast-paced learning environment, tackling challenging data engineering problems for some of the world's largest organizations, primarily Fortune 500 companies. The role requires a blend of technical leadership, problem-solving expertise, and business acumen to ensure that analytics initiatives are executed efficiently and aligned with organizational objectives. Key responsibilities include developing data warehouses, implementing advanced stored procedures, building ETL pipelines, supporting reporting and data governance, and exploring AI integration, including GenAI technologies.
Qualifications
The ideal candidate will possess a bachelor’s degree in computer science, Data Science, Engineering, or a related field. Certifications in Azure Data Engineering and GenAI technologies are preferred. Candidates should have over six years of experience in analytics, data engineering, or application development, with at least two years in a leadership or project management role. Hands-on experience with SQL, Python, Pyspark, ETL development, Azure Data Factory, and AI implementation is essential. Familiarity with AI/ML development lifecycle and integration into analytics platforms is required. A solid understanding of cloud environments, API-based solution design, data architecture, CI/CD practices, and version control systems like Git is also necessary. Experience managing cross-functional technical teams and working within agile methodologies will be advantageous.
Responsibilities
Project & Execution Management: Translate complex business problems into structured data engineering and analytics solutions. Prioritize workloads, manage dependencies, and monitor progress to ensure timely, high-quality deliverables. Establish scalable processes for data validation, governance, and version control to maintain data integrity and compliance.
Team & Delivery Leadership: Oversee the entire data engineering and analytics lifecycle—from requirement gathering and data modeling to deployment and stakeholder communication. Ensure alignment between business needs, technical capabilities, and project execution. Foster a culture of collaboration, agile delivery, and continuous improvement within the team.
Stakeholder Management: Collaborate effectively with product owners, business stakeholders, and internal teams to understand strategic goals. Translate these into actionable data engineering and analytics initiatives. Present insights, proposed solutions, and project updates clearly and professionally, ensuring stakeholders are informed and engaged.
Innovation & Capability Building: Promote the adoption of modern data technologies and AI frameworks within the team. Identify automation opportunities to streamline manual processes and enhance data workflows. Stay updated with emerging trends in analytics tools, MLOps practices, and AI advancements to continuously elevate team capabilities.
Benefits
At Zen Data Shastra, we offer a competitive benefits package designed to support our employees' professional growth and personal well-being. Our benefits include comprehensive health insurance, retirement plans, flexible working arrangements, and opportunities for continuous learning and development. Employees are encouraged to participate in training programs, certifications, and conferences to stay ahead in the rapidly evolving field of data engineering and AI. We foster a collaborative and inclusive work environment that values innovation, integrity, and excellence.
Equal Opportunity
Zen Data Shastra is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. Our hiring practices are rooted in merit and aim to provide equal opportunities for all qualified candidates to contribute and grow within our organization.
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