Data Engineering Manager – Data & Analytics

NexTurn; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

NexTurn in Bengaluru is seeking a Data Engineering Manager with 12+ years of experience to lead data engineering, analytics, and platform initiatives from design through production.

You will mentor a team, review pipeline designs, and drive architecture discussions, while collaborating with cross-functional teams to deliver scalable data solutions.

Qualifications

• Bachelor's or Master's degree is required.
• Lead data engineering teams and ensure technical excellence.
• Oversee end-to-end data engineering, analytics and platform initiatives.
• Review pipeline designs and drive architecture discussions.

Responsibilities

• Mentor and manage a team of data engineers.
• Lead delivery of data engineering, analytics, and platform initiatives.
• Guide scalable data integration layers, enterprise data warehouses, semantic models, and analytics applications.
• Review pipeline designs, challenge engineering estimates, and drive architecture discussions.
• Own project scope, timelines, budgets, risks, and dependencies; proactively mitigate execution risks.
• Partner with Data Scientists, Architects, Product Managers, and Business Analysts to translate business goals into technical deliverables.
• Drive sprint planning, status tracking, stakeholder communication, and senior leadership reporting.

Skills

Python

Advanced SQL

Airflow

Spark

Kafka

AWS

Azure

GCP

Snowflake

Databricks

ETL/ELT

Data Modelling

Data Governance

Education

Bachelor's or Master's degree

Tools

Airflow

Databricks

Snowflake

Kafka

ETL Tools

Job description

Data Engineering Manager - Data & Analytics

WorkExperience:12+Years

Requirements:

• Key Skills: Python (Strong), Advanced SQL, Airflow/Spark/Kafka, Cloud (AWS/Azure/GCP), Modern DW (Snowflake/Databricks), Data Pipeline ETL/ELT.
• Core Domains: Proven experience building data applications, data warehouses, semantic models, and data integration layers.
• Programming & Workflows: Strong familiarity with Python (or SQL-based workflows) to review pipeline logic and engage in technical code reviews.
• Data Fundamentals: Core ETL/ELT pipelines, data modelling, data quality, and governance.
• Cloud & Databases: Hands-on familiarity with cloud data platforms (Azure, AWS, or GCP) along with relational and non-relational database systems.

Qualifications:A Bachelor's or Master's degree in any discipline from a recognized institution is acceptable.

Job Description:

• Team Leadership & Development: Mentor and manage a team of data engineers, driving technical excellence and accountability.
• End-to-End Delivery: Lead the delivery of data engineering, analytics, and platform initiatives from design to production.
• Architecture Oversight: Guide the implementation of scalable data integration layers, enterprise data warehouses, semantic models, and analytics applications.
• Technical Oversight: Review pipeline designs, challenge engineering estimates, and drive architecture discussions.
• Project & Scope Governance: Own project scope, timelines, budgets, risks, and dependencies; proactively mitigate execution risks.
• Cross-Functional Collaboration: Partner with Data Scientists, Architects, Product Managers, and Business Analysts to translate business goals into technical deliverables.
• Sprint & Status Execution: Drive sprint planning, status tracking, stakeholder communication, and senior leadership reporting.