Sr Data Engineer

Specific Accountability :- • Lead the design, build, and optimization of batch and real-time data pipelines. • Own data model design, ingestion frameworks, transformation logic, and platform reliability. • Ensure high standards for data quality, lineage, governance, security, and compliance. • Drive performance tuning, cost optimization, monitoring, and incident resolution across data platforms. • Translate business and analytics needs into scalable technical solutions and delivery plans. • Guide code reviews, technical standards, and release practices for data engineering work. • Mentor team members, allocate work, and provide technical leadership on complex initiatives. • Collaborate with value delivery owners, architects, analysts, scientists, and application teams to enable trusted data products Minimum Qualification • Overall 5-7 years of experience in data engineering and transformation on Cloud • 3+ Years of Very Strong Experience in Azure Data Engineering, Databricks • Expertise in supporting/developing Data warehouse workloads at enterprise level • Experience in pyspark is required – developing and deploying the workloads to run on the Spark distributed computing • Candidate must possess at least a Graduate or bachelor’s degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent. • Cloud deployment: Preferably Microsoft azure • Experience in implementing the platform and application monitoring using Cloud native tools • Experience in implement application self-healing solutions through proactive and reactive automated measures