Data Engineer

19 hours ago

Ernakulam, India VGreenTek Full time

Job Role: Data Engineer

Experience: 5+ years

Mode: Work from office / Hybrid (Kochi)

Job Type: Full-time, Permanent

Notice Period: days

Job Description:

This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands-on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands-on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools.

RESPONSIBILITIES

  • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems

  • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models

  • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure

  • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics

  • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data

  • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions

  • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets

  • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt)

  • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices

  • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process

  • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation

QUALIFICATIONS

  • 5+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus)

  • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows

  • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets

  • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis

  • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling)

  • Familiarity with dbt Labs and modern ELT/analytics engineering practices

  • Experience working with structured, semi-structured, and unstructured data

  • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust

  • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams

  • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment

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