Senior Data Engineer

About the Role

We are seeking a highly skilled and experienced Senior / Lead Data Engineer to design, build, and maintain scalable, reliable, and high-performance data systems.

In this role, you will take ownership of data platforms, lead cross-functional initiatives, and enable analytics, machine learning, and business intelligence across the organization. You will play a key role in shaping data architecture, ensuring data quality and governance, and supporting data-driven decision-making.

Key ResponsibilitiesData Architecture & Modeling

• Design and implement scalable data models (star schema, fact/dimension tables)
• Develop conceptual, logical, and physical data models
• Build enterprise data warehouse solutions with high performance and scalability
• Define and enforce data modeling standards and best practices

Data Engineering & Pipeline Development

• Build and maintain end-to-end data pipelines (ingestion → transformation → serving)
• Develop ETL/ELT processes using modern tools and frameworks
• Implement data validation pipelines and staging layers
• Optimize SQL queries, indexing, and database performance

Data Platform Reliability & Observability

• Ensure reliability and integrity of data pipelines
• Build monitoring dashboards and alerting systems
• Implement data quality checks and schema enforcement
• Lead incident management and root cause analysis

Data Governance & Quality

• Establish data governance frameworks and policies
• Ensure data integrity, lineage, and compliance
• Manage access controls and data security
• Maintain separation between core datasets and analytics layers

Cloud & Big Data Integration

• Integrate systems with data lakes and large-scale platforms
• Work with cloud environments (AWS preferred)
• Utilize tools such as AWS Glue, Lambda, Redshift, or Snowflake
• Design scalable and cost-efficient data solutions

Analytics Engineering & Data Products

• Build and deliver data products for analysts and data scientists
• Develop reusable frameworks for transformation and orchestration
• Support advanced analytics and reporting

CI/CD & DevOps for Data

• Implement CI/CD pipelines for data workflows
• Automate testing, deployment, and validation
• Use version control tools (Git/GitHub)
• Ensure high availability and disaster recovery

Programming & Tools

• Strong expertise in SQL (advanced level)
• Proficiency in Python for automation and data processing
• Experience with tools such as dbt, DBeaver, and orchestration tools (e.g., Dagster)

Leadership & Collaboration

• Lead technical initiatives and mentor junior engineers
• Conduct code reviews and architecture discussions
• Collaborate with engineering, product, and business teams
• Translate business requirements into scalable data solutions

Requirements

• Bachelor’s degree in Computer Science, Engineering, IT, or related field
• 4–5+ years of experience in Data Engineering or related roles
• Strong expertise in data modeling, SQL, and ETL/ELT pipelines
• Experience with data warehousing and data lakes
• Hands-on experience with cloud platforms (AWS preferred)
• Strong understanding of system design and scalable architecture
• Excellent communication and stakeholder management skills
• Ability to work in fast-paced, agile environments

Preferred Qualifications

• Experience with AWS services (Glue, Lambda, etc.)
• Experience with Snowflake or Redshift
• Strong hands-on experience with dbt
• Knowledge of machine learning data pipelines
• Certifications (SQL Server, CDMP, MCSA, or similar)
• Experience in regulated industries (Healthcare, Defense, etc.)
• Familiarity with CI/CD, data governance, and FinOps practices

Job Type: Full-time

Pay: Rs250,000.00 - Rs400,000.00 per month

Work Location: In person