Data Engineer

Job Title: Data Engineer

Experience: 5 Years
Location: Bangalore, India

About the Role

We are seeking a highly experienced Data Engineer with strong expertise in Apache Airflow and Python to lead complex data workflow migrations and build scalable data architecture. You will design, optimize, and maintain data pipelines that power our business analytics and data-driven decision-making. This role demands deep knowledge of both NoSQL (MongoDB) and relational databases, and experience in streamlining CI/CD processes for data workloads.

Key Responsibilities

• Lead the migration of Jenkins-based data pipelines to Apache Airflow, improving orchestration, scheduling, and reliability.
• Design and implement robust, scalable data workflows using Airflow and Python, ensuring reliability, modularity, and fault tolerance.
• Architect and optimize data storage solutions using MongoDB (NoSQL) as well as MySQL / PostgreSQL (relational), balancing performance and cost.
• Collaborate with cross-functional teams (data scientists, analysts, engineers) to build integrated data pipelines and delivery mechanisms.
• Implement data validation and quality checks to ensure accuracy, consistency, and reliability across all processes. Airbyte+2Airbyte+2
• Monitor, profile, and tune data workflows for performance, throughput, and resource utilization.
• Build and maintain CI/CD practices specifically tailored for data pipelines, enabling rapid delivery and stable deployments.
• Document data workflows, architecture patterns, and processes to support maintainability and knowledge sharing.
• Stay current on data engineering best practices, emerging tools, and orchestration frameworks.

Required Skills & Expertise

• Strong experience in Apache Airflow and writing DAGs in Python.
• Proficiency in Python for building data ingestion and transformation logic.
• Experience migrating or managing CI/CD pipelines (e.g., Jenkins → Airflow).
• Deep understanding of MongoDB (NoSQL) as well as MySQL / PostgreSQL or other relational databases.
• Expertise in designing, building, and maintaining data pipelines and workflow orchestration systems.
• Solid experience in ensuring data quality, reliability, and performance in production pipelines.
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication and collaboration skills, with ability to work across cross-functional teams.

Nice-to-Have

• Experience with Docker, AWS, or GCP.
• Familiarity with Spark for large-scale data processing. X0PA AI
• Experience using Git and REST APIs in data engineering context.
• Understanding of data governance, data lineage, and metadata management. Taggd

Soft Skills

• Strong analytical thinking and problem-solving mindset.
• Excellent ownership — ability to lead and drive data architecture initiatives.
• Good communication skills to articulate complex data ideas to technical and non-technical stakeholders.
• Team player, able to collaborate effectively with engineers, data scientists, and product teams.

If you like, I can also:
✅ Create a LinkedIn‑ready job posting
✅ Provide a short, catchy version for job boards
✅ Craft a technical deep-dive JD specifically for senior data engineering roles

Do you want me to do one?

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Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Work Location: In person