As a Tech Lead Data Engineering, you will take ownership of designing, building, and scaling robust data platforms and pipelines. You will lead a small team of data engineers, collaborate closely with stakeholders, and ensure best practices in data architecture, quality, and performance.

Roles & Responsibilities :

- Lead the design and development of scalable data pipelines and architectures, ensuring best practices in coding, data modeling, and system design

- Provide technical guidance and mentorship to junior data engineers and conduct code and design reviews

- Design and implement ETL/ELT pipelines using Azure, AWS, or Snowflake ecosystems, including medallion (BronzeSilverGold) data lake architecture

- Optimize data pipelines for performance, scalability, and reliability, and manage data ingestion strategies (full and incremental loads)

- Work with tools such as Azure Data Factory, Databricks, Microsoft Fabric, AWS Glue, Redshift, or Snowflake to build and manage data platforms

- Design and optimize data models (star and snowflake schemas) and develop high-performance SQL queries

- Collaborate with analysts and business teams to deliver clean datasets and support dashboard development using Power BI or Tableau

- Translate business requirements into scalable technical solutions and work cross-functionally with data teams

- Define and enforce data standards, documentation, data quality, lineage, and governance practices

- Own end-to-end delivery of data engineering projects, ensuring timelines, quality, and scalability

Required Skills & Qualifications :

- 3 - 6 years of experience in data engineering or data platform development, with experience leading or mentoring small teams

- Strong proficiency in SQL and Python, with hands-on experience in building and optimizing data pipelines

- Experience with at least one ecosystem: Azure (Data Factory, Databricks, Microsoft Fabric, DevOps), AWS (Glue, Redshift, SageMaker or Bedrock), or Snowflake

- Strong understanding of data modeling, data warehousing concepts, ETL/ELT design, and medallion architecture

- Experience building scalable, reliable, and efficient data pipelines and modern data platforms

- Ability to analyze complex datasets, perform debugging, optimization, and performance tuning

- Strong communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders

Good to Have :

- Experience with Power BI or Tableau

- Exposure to CI/CD pipelines and DevOps practices

- Experience working with real-time or streaming data pipelines

- Certifications in Azure, AWS, or Snowflake

Benefits :

- Competitive salary and performance-based bonuses

- Opportunities for certifications and professional growth

- Collaborative, innovation-driven work environment