Senior / Lead Data Engineer

4 days ago

bangalore, India Allianz Services Full time

Designation - Senior / Lead Data Engineer Experience range - 5 to 10 Years Job Location - Pune or Trivandrum Job description We are seeking a motivated Data Engineer with experience to design, develop, and maintain scalable data solutions on the Microsoft Azure platform. You will collaborate with cross-functional teams to enable data-driven decision-making using Azure Synapse Analytics, Data Factory, SQL, Python, and data analysis techniques. This role offers opportunities to grow your expertise in cloud data engineering while contributing to impactful projects. ________________________________________ Key Responsibilities Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure Data Factory and Azure Synapse Analytics. For Data Engineers, Databricks and Fabric should must have skills, with Synapse being a good-to-have addition. We are only looking for senior candidates with over 6 yrs of relevant exp with ample client facing exp. Finance/Insurance experience is also a must. Data Modeling & Warehousing: Design and optimize data models, warehouses, and lakes for structured/unstructured data. SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage databases. Python Automation: Develop scripts for data processing, automation, and integration using Python (Pandas, NumPy). Collaboration: Partner with data analysts/scientists to ensure data accessibility and quality for analytics/ML projects. Data Analysis: Perform exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights. Troubleshooting: Resolve data pipeline issues, ensuring reliability and compliance with governance standards. Documentation: Maintain clear technical documentation for architectures, processes, and workflows. Continuous Learning: Stay updated on Azure advancements (e.g., Databricks, Purview) and industry best practices. Qualifications: Education: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. Experience in data engineering, with hands-on exposure to Azure Synapse, Data Factory, SQL, and Python. Technical Skills: Proficiency in SQL (joins, CTEs, optimization) and Python for data tasks. Experience with Azure data services (Synapse, Data Factory, Storage). Basic understanding of ETL/ELT processes and data warehousing. Familiarity with Git for version control. Analytical Skills: Ability to analyze datasets, identify patterns, and communicate insights.

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