Chief Manager

3 weeks ago

Gurgaon, India Max Life Insurance Company Limited Full time
JOB SUMMARY:We are seeking a skilled AWS Big Data Engineer to join our dynamic team. In this role, will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure on AWS cloud platform. The ideal candidate will have extensive experience with AWS services, particularly in the realm of big data processing and analytics.The role involves working closely with cross-functional teams to support data-driven decision-making and focus on delivering business objectives while improving efficiency and ensuring high service quality.

KEY RESPONSIBILITIES:Architect, Design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.Expertise in real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.Optimize performance of data processing jobs and ensure system scalability and reliability.Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWSCollaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.Lead and mentor junior data engineers, providing guidance on best practices, code reviews, and technical solutions.Evaluating and implementing new frameworks, tools for data engineeringStrong analytical and problem-solving skills with attention to detail.To maintain a healthy working relationship with the business partners/users and other MLI departmentsResponsible for overall performance, cost and delivery of technology solutions

Key Technical competencies/skills requiredHands-on experience with AWS services such as S3, DMS, Lambda, EMR, Glue, Redshift,RDS (Postgres) Athena, Kinesics, etc.Expertise in data modelling and knowledge of modern file and table formats.Expertise in data replication tool like Qlik replicate, AWS DMSProficiency in programming languages such as Python, PySpark, SQL/PLSQL for implementing data pipelines and ETL processes.Experience data architecting or deploying Cloud/Virtualization solutions (Like Data Lake, EDW, Mart ) in enterpriseKnowledge of modern data stack and keeping the technology stack refreshed.Knowledge of DevOps to perform CI/CD for data pipelines.Knowledge of Data Observability, automated data lineage and metadata management would be an added advantage.Cloud/hybrid cloud (preferable AWS) solution for data strategy for Data lake, BI and AnalyticsSet-up logging, monitoring, alerting, dashboards for cloud solution and data solutionExperience with data warehousing concepts.

Desired qualifications and experience:Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).Proven experience of 12+ years as a Data Engineer or similar role with a strong focus on AWS cloudStrong analytical and problem-solving skills with attention to detail.Excellent communication and collaboration skills.AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus

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