Bread Financial - Manager - Data Engineering

Bread Financial; Karnataka; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

Bread Financial in India (Karnataka) seeks a Manager, Data Engineering to lead a team of data engineers responsible for the collection, storage, and analysis of large-scale data, building reliable data pipelines and shaping data infrastructure to support business objectives.

The role emphasizes strategic planning, project delivery, and mentoring with focus on DataOps and scalable systems to enable data-driven decisions across the enterprise.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Math/related field.
• 7+ years in modern data engineering technologies.
• 3+ years leading teams in professional settings.
• Experience with data warehouses, ETL/ELT, analytics tools and environments.
• Experience delivering enterprise-wide data transformation and processing solutions.

Responsibilities

• Set priorities and allocate resources for multiple teams.
• Provide day-to-day guidance and career development for Data Engineering team.
• Develop and enforce DataOps best practices.
• Manage analytics project delivery including timeliness, quality, and client value.
• Lead development of large-scale data structures and pipelines to standardize data and generate insights.
• Design complex production systems and create data engineering solutions across languages.
• Act as a technical consultant to senior IT management and planning groups.
• Mentor Data Engineers and BI developers to build a strong CoE.
• Collaborate cross-functionally to train IT and business teams on platform services.
• Ensure data security and regulatory compliance; mitigate data risks.

Skills

People Management

SQL

Data Engineering

Python

Solutions Design

HDFS

Documentation

Data Analysis

CDP

Apache Hadoop

Agile Methodology

Education

Bachelor's degree in Computer Science, Mathematics or related field

Master's degree in Computer Science or related field (preferred)

Tools

Hadoop Ecosystem (Hive, HBase, Sqoop, Oozie, Spark)

Spark

Hive

HDFS

Oozie

Sqoop

Job description

Job Summary

The Manager, Data Engineering plays a pivotal role in leading and overseeing a team of Data Engineers to ensure the efficient collection, storage, and analysis of large-scale data. This position involves strategic planning, execution, and maintenance of data infrastructure to support business objectives.

Job Summary

The Manager, Data Engineering plays a pivotal role in leading and overseeing a team of Data Engineers to ensure the efficient collection, storage, and analysis of large-scale data. This position involves strategic planning, execution, and maintenance of data infrastructure to support business objectives. Key responsibilities include managing project timelines, ensuring data pipeline reliability, and optimizing data systems for performance and scalability. The ideal candidate has extensive experience in data engineering, proficiency in relevant technologies, and a proven track record in team management and mentoring. This role is critical in driving data-driven decision-making and innovation across the enterprise.

Essential Job Functions

• Set business area priorities, allocate resources and develop plans for multiple related teams.
• Provide day-to-day work management, technical guidance, strategic direction, problem resolution, and career path development for Data Engineering team. (20%)
• Responsible for the framework development and execution of DataOps best practices.
• Accountable for the overall management of analytics projects; including timeliness, quality, and client value. (15%)
• Co-lead development and execution of highly complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
• Design complex, production systems and creates custom packages using multiple programming languages to solve challenging data engineering problems. (20%)
• Act as thought leader to provide expert technical consultation to senior IT management strategic planning groups.
• Mentor and manage a team of Data engineers & BI developers, develop a robust foundational layer of talent for the CoE. (15%)
• Work cross-functionally to develop effective communication and training vehicles for other IT and business teams on platform services and roadmaps, and elevate line function skills-sets in adeptly executing advanced analytics using central ways of working and tools. (10%)
• Ensure data security and compliance with relevant regulations (e.g., GDPR, CCPA) and internal policies.
• Develop and implement data security measures to protect sensitive information.
• Identify potential risks in data engineering processes and develop strategies to mitigate them, ensuring continuity and reliability of data services. (20%)

Minimum Qualifications

• Bachelors Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
• 7+ years of experience in modern data engineering technologies.
• 3+ years of experience leading teams of people in a professional setting.
• Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
• Expert experience implementing complex, enterprise-wide data transformation and processing solutions.

Preferred Qualifications

• Masters Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
• Hands on experience in Apache Hadoop Ecosystem like HDFS, MapReduce, Hive, HBase, Sqoop, Oozie, Spark and BigData Analytics.
• Certifications in technologies is preferred.

Skills

• People Management.
• Structured Query Language (SQL).
• Solutions Design.
• Python (Programming Language).
• Platform Technologies.
• Hadoop Distributed File System (HDFS).
• Documentations.
• Data Engineering.
• Data Analysis.
• Cloudera Data Platform (CDP).
• Apache Hadoop.
• Agile Methodology.

Reports To : Senior Manager and above.

Direct Reports : 11-15.

Work Environment : Normal office environment, hybrid.

Travel : Ability to travel up to 20% annually.

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

(ref:hirist.tech)