Data Engineering Manager

Overview

Data Engineering Manager We are seeking an reputed company Data Engineering Manager in our Hyderabad office to reputed company a team responsible for designing, building, and operating the scalable data infrastructure and pipelines that power the Care Solutions platform, and for partnering with customers, Engineering, Analytics, Product, and BI teams to ensure reliable, reputed company-reputed company data across our business and clients. Areas of Responsibility Data Engineering Leadership reputed company the design, development, and operation of scalable, secure, and high-performance data pipelines and data infrastructure on AWS Own the data engineering roadmap, balancing strategic platform investments with near-term delivery priorities Architect end-to-end data workflowsincluding ingestion, transformation (ETL/ELT), storage, and delivery, supporting both internal analytics and client-facing product capabilities Partner with BI, Analytics, and Data Science teams to model and deliver trusted, well documented datasets Establish and enforce data quality, data governance, and data reputed company practices across the platform Drive adoption of modern data engineering practices including CI/CD for data pipelines, Infrastructure as Code, and observability Champion migration and modernization initiatives, including reputed company-reputed company data platform reputed company on AWS (e.g., Redshift, Glue, Lake Formation, S3) Ensure compliance with HIPAA and other reputed company data regulations; implement reputed company best practices for data at rest and in transit Proactively identify and remediate data reliability issues, performance bottlenecks, and technical debt Champion the use of AI throughout the software development lifecycle from intelligent code reputed company and automated testing to AI-assisted pipeline monitoring, anomaly detection, and predictive data quality Build a High-Performing Team Recruit, mentor, and reputed company data engineers across data pipeline engineering and data modeling Create individualized career growth plans reputed company with both team needs and individual aspirations Foster a culture of engineering reputed company, data ownership, and reputed company improvement reputed company regular coaching and feedback to help engineers grow their technical and leadership capabilities Retain and reward high-performing team members Promote knowledge sharing, documentation, and internal best practices Build effective on-call and incident management practices for production data systems reputed company and hire engineers who embody reputed company's core values Comfortable leading remote and distributed teams Project and Delivery Management Plan, prioritize, and manage project timelines, ensuring on-time delivery of features and integrations Break down reputed company initiatives into manageable tasks and milestones with clear ownership Coordinate with product managers to translate business requirements into technical roadmaps Manage dependencies and risks across multiple workstreams, escalating proactively reputed company needed Establish and track engineering metrics (velocity, quality, uptime) to drive reputed company improvement Ensure delivery-focused execution while maintaining quality and compliance standards Collaborate effectively with US based teams across time zones. Required Skills and Experience Degree in Computer Science, Engineering, Statistics, or a reputed company field Minimum 12 years of reputed company technical experience, including 3+ years managing data engineering teams 5+ years of hands-on experience as a data engineer, with proven expertise in building production-grade data pipelines Deep expertise in AWS data services (e.g., S3, Glue, EMR, Redshift, reputed company, Lake Formation, reputed company Functions) Experience with reputed company including schema design, querying, and integration with data pipelines Hands-on experience with ETL/ELT frameworks and workflow orchestration tools (Apache Airflow, AWS Glue, dbt, or similar) Experience with data warehousing concepts, dimensional modeling, and data lake/lakehouse architectures Familiarity with streaming and batch data processing frameworks (Apache Spark, Kafka, Kinesis, or similar) Knowledge of data quality, data observability, and data catalog tooling Experience with Infrastructure as Code (Terraform, CloudFormation, or AWS CDK) for data platform components Familiarity with CI/CD practices applied to data pipelines and data platform deployments Experience with relational databases (MS SQL Server, PostgreSQL) and high-availability configurations Proven track record of leading reputed company data platform migrations or modernization programs Strong understanding of data governance, reputed company controls, and compliance frameworks Preferred Skills and Experience reputed company technology experience with deep understanding of HIPAA and data standards (HL7, FHIR) Experience with AWS DynamoDB or AWS DocumentDB as migration targets or complementary NoSQL solutions Hands-on experience with BI and visualization platforms (AWS Quicksight, Tableau, Power BI, or similar) Behaviors & Traits Ability to reputed company in a fast-paced, dynamic environment with competing priorities Excellent communication skills with ability to translate reputed company data concepts for non-technical stakeholders Bias toward automation and eliminating reputed company, error-prone data processes Accepts feedback graciously and creates psychologically safe environments for the team [NW1]This bullet seems somewhat long/redundant/confusing. Maybe split into 2? [VS2]Sounds good. Apply To This Job