Senior Engineering Manager

SourcingXPress; Bengaluru; On-site; INR 9,500,000 - 13,000,000; Full time

Job summary

FxConsulting in Bengaluru is seeking a Senior Engineering Manager – Big Data to lead the data engineering team in designing, developing, and maintaining scalable, high-performance big data solutions.

The ideal candidate will bring deep technical expertise in data engineering, hands-on cloud-based platforms, and a proven ability to mentor and grow high-performing teams, collaborating with product, engineering, and business stakeholders to drive data-driven decisions.

Qualifications

• 9+ years in data engineering or software engineering.
• 2+ years in a leadership or managerial role.
• Expertise in SQL and data modelling.
• Strong proficiency in Python, Scala, or Java.
• Experience with data pipeline orchestration tools (e.g., Airflow).
• Familiarity with big data technologies (e.g., Spark, EMR).
• Experience with cloud platforms (e.g., AWS) and services like S3, Redshift.
• Solid understanding of data warehousing concepts and real-time data streaming (e.g., Kafka).
• Excellent communication and interpersonal skills.
• Strong problem-solving skills and attention to detail.
• Ability to balance technical leadership with people management.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Responsibilities

• Lead and mentor a team of data engineers, providing technical guidance and career development.
• Architect, implement, and maintain end-to-end data pipelines (batch and real-time).
• Ensure best practices for data governance, quality, and security.
• Collaborate with stakeholders to define requirements and deliver scalable data solutions.
• Oversee cloud-based big data platforms, including S3, Redshift, EMR.
• Manage workflow orchestration using Airflow or equivalent tools.
• Implement and maintain data modeling, warehousing, and streaming solutions (Kafka, Spark).
• Drive continuous improvement, process optimization, and adoption of emerging big data technologies

Skills

Data engineering

Leadership

SQL

Python/Scala/Java

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Airflow

Spark

EMR

AWS

S3

Redshift

Kafka

Job description

Role Summary

Our client is looking for an accomplished

Company

Company: FxConsulting

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2C

Funding Stage: Series D+

Industry: Internet

Salary Range: ₹ 95-130 Lacs PA

Job Description

Our client is looking for an accomplished Senior Engineering Manager – Big Data to lead the data engineering team in designing, developing, and maintaining scalable, high-performance big data solutions. The ideal candidate will bring deep technical expertise in data engineering, hands-on experience with cloud-based big data platforms, and a proven ability to lead, mentor, and grow high-performing teams. In this role, you will work closely with product, engineering, and business stakeholders to shape data strategy, uphold data quality, and drive data-driven decision-making across the organization.

Key Responsibilities

• Lead and mentor a team of data engineers, providing technical guidance and career development.
• Architect, implement, and maintain end-to-end data pipelines (batch and real-time).
• Ensure best practices for data governance, quality, and security.
• Collaborate with stakeholders to define requirements and deliver scalable data solutions.
• Oversee cloud-based big data platforms, including S3, Redshift, EMR.
• Manage workflow orchestration using Airflow or equivalent tools.
• Implement and maintain data modeling, warehousing, and streaming solutions (Kafka, Spark).
• Drive continuous improvement, process optimization, and adoption of emerging big data technologies

Required Skills & Qualifications

• 9+ years of experience in data engineering or software engineering.
• 2+ years of experience in a leadership or managerial role.
• Expertise in SQL and data modelling.
• Strong proficiency in Python, Scala, or Java.
• Experience with data pipeline orchestration tools (e.g., Airflow).
• Familiarity with big data technologies (e.g., Spark, EMR).
• Experience with cloud platforms (e.g., AWS) and services like S3, Redshift.
• Solid understanding of data warehousing concepts and real-time data streaming (e.g., Kafka).
• Excellent communication and interpersonal skills.
• Strong problem-solving skills and attention to detail.
• Ability to balance technical leadership with people management.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.