Data Engineering Manager_104635

MyCareernet; Bengaluru; Presencial; INR 3 000 000 - 5 000 000; Tempo integral

Resumo da oferta

MyCareernet in Bengaluru seeks a senior data engineering leader to guide a high-performance team and shape the technical roadmap for enterprise data platforms.

You will own design and operation of scalable ETL/ELT pipelines on AWS and Databricks, drive data quality and governance, and collaborate with product, analytics, security and other stakeholders to deliver analytics-ready data solutions.

Qualificações

• 10–14 years of experience in data engineering, including at least 3 years leading, hiring, coaching and developing teams.
• Strong experience leading data engineering teams and delivering production-grade enterprise data platforms.
• Deep expertise in ETL/ELT, data warehousing, data engineering architecture and data modeling.
• Practical experience designing scalable data solutions using AWS Cloud and Databricks.
• Ability to lead architecture decisions involving data ingestion, transformation, integration, governance and platform reliability.
• Experience delivering secure, fault-tolerant and scalable data pipelines for analytics, reporting and AI/ML workloads.

Responsabilidades

• Lead, coach, mentor and grow a high-performing team of data engineers through hiring, performance management and career development.
• Define and execute the technical roadmap for enterprise data platforms, aligning priorities with product strategy and business outcomes.
• Oversee the design and operation of scalable ETL/ELT pipelines supporting batch, streaming and near-real-time data processing.
• Architect and evolve data warehouse, lakehouse, ingestion, transformation and integration capabilities on AWS Cloud and Databricks.
• Drive data quality, governance, metadata, privacy, security, observability, automation and operational reliability across data platforms and products.
• Partner with product management, software engineering, analytics, data science, architecture, security and business stakeholders to deliver analytics-ready data solutions.
• Enable reusable data products and reliable data foundations for AI/ML, reporting and advanced analytics use cases.
• Own delivery planning, backlog prioritization, resource planning, stakeholder communication and operational stability for the data engineering team.

Conhecimentos

AWS Cloud

Team Management

Databricks

Data Modeling

Data Warehouse

ETL

Data Engineering

AWS S3

Leadership

Formação académica

Bachelor's or Master's in CS/Engineering

Descrição da oferta de emprego

Key Skills:

AWS Cloud, Team Management, Databricks, Data modeling, Data Warehouse, ETL, Data Engineering, AWS S3

Roles and Responsibilities:

• Lead, coach, mentor and grow a high-performing team of data engineers through hiring, performance management and career development.
• Define and execute the technical roadmap for enterprise data platforms, aligning priorities with product strategy and business outcomes.
• Oversee the design and operation of scalable ETL/ELT pipelines supporting batch, streaming and near-real-time data processing.
• Architect and evolve data warehouse, lakehouse, ingestion, transformation and integration capabilities on AWS Cloud and Databricks.
• Drive data quality, governance, metadata, privacy, security, observability, automation and operational reliability across data platforms and products.
• Partner with product management, software engineering, analytics, data science, architecture, security and business stakeholders to deliver analytics-ready data solutions.
• Enable reusable data products and reliable data foundations for AI/ML, reporting and advanced analytics use cases.
• Own delivery planning, backlog prioritization, resource planning, stakeholder communication and operational stability for the data engineering team.

Skills Required:

• 10 - 14 years of experience in data engineering, including at least 3 years leading, hiring, coaching and developing technical teams.
• Strong experience leading data engineering teams and delivering production-grade enterprise data platforms.
• Deep expertise in ETL/ELT, data warehousing, data engineering architecture and data modeling.
• Practical experience designing scalable data solutions using AWS Cloud and Databricks.
• Ability to lead architecture decisions involving data ingestion, transformation, integration, governance and platform reliability.
• Experience delivering secure, fault-tolerant and scalable data pipelines for analytics, reporting and AI/ML workloads.

Good to Have:

• Hands-on experience with AWS S3 and cloud-based data lake architectures.

Education:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics or a related technical field, or equivalent practical experience.