Data Engineer

Job Title: Data Engineer

Location:
Chennai / Hyderabad / Bangalore

Work Mode:
Work from Office

Experience:
4–8 Years

Role Description

We are seeking a
Data Engineer
to design, implement, and optimize scalable and high-performance data solutions that support enterprise analytics, AI-driven insights, and digital transformation initiatives.

This role will focus on
data strategy, architecture, governance, security, and operational efficiency
, ensuring seamless data integration across modern cloud platforms. The ideal candidate will collaborate closely with engineering teams, business stakeholders, and leadership to establish a
future-ready data ecosystem
— balancing performance, cost-efficiency, security, and usability.

This position requires expertise in
modern cloud-based data architectures
,
data engineering best practices
, and
Scaled Agile methodologies.

Roles & Responsibilities

• Design and implement scalable, modular, and future-proof data architectures for enterprise initiatives.
• Develop enterprise-wide data frameworks that enable governed, secure, and accessible data across various business domains.
• Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms.
• Develop high-performance data pipelines for batch and real-time data processing by integrating APIs, streaming sources, transactional systems, and external data platforms.
• Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities.
• Establish data interoperability frameworks that enable seamless integration across multiple data sources and platforms.
• Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions.
• Implement
  DataOps best practices
  , including CI/CD for data pipelines, automated monitoring, and proactive issue resolution to improve operational efficiency.
• Lead
  Scaled Agile (SAFe)
  practices, including Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies, ensuring iterative delivery of enterprise data capabilities.
• Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals.
• Leverage emerging data technologies and trends to ensure adoption of cutting-edge, scalable, and competitive data solutions

Must-Have Skills

• Proven experience in
  data architecture, enterprise data management,
  and
  cloud-based analytics solutions.
• Expertise in
  Databricks, cloud-native data platforms,
  and
  distributed computing frameworks.
• Strong proficiency in
  data modeling techniques
  — dimensional modeling, NoSQL, and data virtualization.
• Hands-on experience designing
  high-performance ETL/ELT pipelines
  and
  real-time data processing
  solutions.
• Deep understanding of
  data governance, security, metadata management,
  and
  access control frameworks.
• Experience with
  CI/CD for data solutions, DataOps automation,
  and
  infrastructure as code (IaC).
• Proven collaboration with cross-functional teams, including business executives, data engineers, and analytics teams.
• Strong
  problem-solving, strategic thinking,
  and
  technical leadership
  skills.
• Experience with
  SQL/NoSQL databases,
  including
  vector databases for large language models.
• Experience in
  data modeling and performance tuning
  for both OLAP and OLTP databases.
• Proficiency with
  Apache Spark, Apache Airflow.
• Familiarity with
  software engineering best practices
  — version control (Git, Subversion), CI/CD (Jenkins, Maven), automated testing, and DevOps workflows.

Good-to-Have Skills

• Experience with
  Data Mesh architectures
  and
  federated data governance models.
• Cloud or enterprise architecture certifications.
• Knowledge of
  AI/ML pipeline integration
  within enterprise data architectures.
• Familiarity with
  BI and analytics platforms
  for enabling self-service analytics and enterprise reporting.

To Apply:

Please submit your updated resume to
arul­