Assistant Manager - Technology

Job description

Join Tata AIA Life Insurance, a leading and fastest-growing life insurance provider in India, established in 2001 as a joint venture between Tata Sons Pvt. Ltd. and AIA Group Ltd. Our company embodies a legacy of trust, integrity, and excellence, combining Tatas esteemed leadership with AIAs extensive pan-Asian expertise. At Tata AIA, our vision is to be the pre-eminent protection provider enabling dreams and inspiring healthier, happier lives. We foster a culture of innovation, inclusivity, and continuous learning, offering dynamic career growth opportunities and a supportive work environment. Recognized as a Great Place to Work and recipient of the Kincentric Best Employer Award, we are committed to employee satisfaction and holistic well-being. Our core value, People - Our Core, emphasizes our dedication to inspiring our employees to be and deliver their very best. Our aim is to attract, hire and develop highly capable leaders who are just, fair, ethical, and accountable for their actions. We strive to provide our employees with the right training, technology, equipment, resources, and guidance to perform their job effectively. Our promise to you is to provide for a diverse, equitable, and inclusive work environment, where each employee is valued as an individual and treated with respect, care, and compassion. Fuel your future with us, find your wings, and S. O. A. R. Shape opportunities, Optimize your potential, Accomplish meaningful work, and Reap holistic growth. **Position Overview** **Position Title** Azure Data Engineer (ADF, Databricks, Azure) **Department** IND AS Project **Level/ Band** 301/Assistant Manager **Role Summary** : We are looking for an **Azure Data Engineer** skilled in **Azure Databricks, PySpark, PySQL, Azure Cloud services, and ADF** to design, build, and optimize data pipelines and solutions that support business intelligence and analytics. 1. **Organizational Relationships** **Reports To** Technology AVP for IFRS 17 **Supervises** N/A **Job Dimensions** **Geographic Area Covered** N/A **Stakeholders Internal** IFRS 17 Leads & Management **Stakeholders External** Finance & Actuary IFRS 17 Teams & Leads **Key Result Areas** **Ensure Timely, Logical Development with Accuracy** Develop and maintain scalable data pipelines using **ADF, Azure Databricks, PySpark, PySQL, and Datastage** . Implement ETL/ELT processes to integrate data from multiple sources into Azure. Optimize data workflows for performance, reliability, and cost efficiency. Collaborate with data architects, analysts, and business teams to deliver high-quality solutions. Ensure compliance with data governance, security, and privacy standards. Troubleshoot and resolve issues in data pipelines and cloud environments. **Skills Required** **Technical** Hands-on experience with **Azure Databricks, Datastage, Azure Cloud services, and ADF** . Strong knowledge of **SQL, Python, and PySpark** for data processing. Experience in **ETL/ELT development and data warehousing** . Familiarity with **Azure storage solutions (Data Lake, Blob Storage, Synapse)** . Good problem-solving and debugging skills. Strong communication and teamwork abilities. **Behavioral** **Essential** **Desired** **Interpersonal skills** **Communication skills** **Creative thinking skills** **Supervising / Leadership skills** **Teamwork Skills** **Influencing skills** **Relationship Building skills** **Decision making skills** **Language Skills** **English, Hindi & Local language** **Incumbent Characteristics** **Essential** **Desired** **Qualification** 3 6 years of experience in data engineering roles. Knowledge of **Datastage** ETL tool Exposure to **DevOps, CI/CD pipelines, and cloud monitoring tools** . Knowledge of **data modeling and performance tuning** . **Experience** 3 6 years of experience in data engineering roles. **Disclaimer** : < Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.