Data Engineer

Location : Bangalore, India

At ManoloAI, we believe in the power of bold ideas, transformative technology, and passionate people. Our journey begins with a shared purpose—to drive innovation that redefines industries and shapes a brighter, more connected future. When you join us, you're not just stepping into a workplace; you're entering a community of dreamers, innovators, and problem-solvers. We embrace diversity, champion curiosity, and empower our team to turn challenges into opportunities. Here, innovation isn’t just a buzzword—it’s the heartbeat of everything we do. From cutting-edge technology to groundbreaking strategies, we provide the tools, resources, and support to turn your ideas into reality.

Ready to start your journey where innovation begins? Explore our opportunities and find your place in building tomorrow, today.

Job Overview

As a Data Engineer, you will play a pivotal role in designing, building, and maintaining scalable data infrastructure and pipelines. You will collaborate with clients to understand their data needs, develop solutions to streamline data operations, and ensure optimal performance for analytical and machine learning initiatives. Your expertise will help businesses unlock the full potential of their data assets, driving innovation and efficiency.

Key Responsibilities

  • Data Infrastructure Development: Design, implement, and manage scalable data pipelines and architectures to support data collection, transformation, and analysis.

  • Collaboration: Partner with cross-functional teams, including data scientists, analysts, and business stakeholders, to identify data needs and provide tailored solutions.

  • Data Integration: Integrate data from various sources, ensuring data accuracy, reliability, and consistency for analytical use.

  • Optimization and Automation: Optimize data workflows and automate repetitive tasks to improve efficiency and reduce operational overhead.

  • Best Practices: Advocate for and implement data engineering best practices, including coding standards, testing, and documentation.

  • Performance Monitoring: Monitor and troubleshoot data pipelines and infrastructure, ensuring high availability and performance.

  • Consulting Expertise: Provide expert guidance on data engineering strategies, tools, and technologies that align with client business objectives.

Required Skills and Qualifications

  • Proven experience (2+ years) in data engineering, including designing and building scalable data pipelines.

  • Proficiency in Python, SQL, and big data tools such as Spark equivalent.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like Redshift, BigQuery, or Data Factory.

  • Strong understanding of ETL processes and data integration techniques.

  • Excellent problem-solving skills and ability to work in a client-facing, consultative environment.

  • Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills and Qualifications

  • Bachelor’s degree (or equivalent) in Computer Science, Information Technology, Engineering, or a related field.

  • Experience with modern data warehousing, data lakes, and real-time streaming technologies.

  • Familiarity with data governance, security, and compliance best practices.

  • Professional certifications in cloud platforms or data engineering technologies.

  • Experience working with Agile/Scrum methodologies.

What We Offer

  • Opportunity to work with diverse clients and cutting-edge technologies.

  • A dynamic, collaborative work environment with a focus on professional growth and development.

  • Competitive compensation and flexible work arrangements.