Data Engineer

🔥 15 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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People10 Technologies Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🏢 Enterprise

🤝 B2B

🤖 Artificial Intelligence

💰 $1.6M Venture Round - People10 Technologies on 2014-10

Enterprise • B2B • Artificial Intelligence

People10 is a global engineering and digital transformation services firm that combines consulting, software engineering, and domain expertise to build enterprise-grade applications and AI-enabled solutions. The company offers a broad service portfolio including enterprise software and product development, legacy modernization, cloud engineering and migration, DevOps and CI/CD, quality engineering and test automation, data engineering and MLOps, IoT, and AI/Generative AI solutions. People10 also provides dedicated remote development teams and industry-specific solutions for sectors such as banking & finance, healthcare, retail/e-commerce, transport & logistics, travel & hospitality, and manufacturing.

📋 Description

• Work closely with the Data Engineering Lead to implement the target data architecture • Develop and maintain scalable data ingestion and transformation pipelines • Integrate data from databases, APIs, SaaS applications, files, and cloud platforms • Implement data validation, quality checks, reconciliation, and monitoring • Perform source data analysis and troubleshoot pipeline, data, and performance issues • Support POCs, technical evaluations, testing, UAT, deployments, and production stabilization • Participate in code reviews and maintain technical documentation • Take ownership of assigned components and contribute to end-to-end solution delivery

🎯 Requirements

• 3–4 years of hands-on experience in Data Engineering, ETL/ELT, data integration, and building data pipelines • Experience working with cloud-based data platforms and modern data architectures • Strong SQL skills, including joins, CTEs, window functions, aggregations, transformations, and query optimization • Experience with Python for data processing, automation, pipeline development, debugging, and error handling • Understanding of ETL/ELT, batch and incremental processing, data modeling, data quality, validation, and reconciliation • Hands-on experience with AWS, Azure, or GCP, including cloud storage, compute, and access management • Experience with Snowflake preferred; alternatively Databricks, Redshift, Synapse, or BigQuery • Understanding of data loading, transformation, and performance optimization • Experience integrating databases, APIs, SaaS applications, files, and cloud storage • Knowledge of REST APIs, JSON, authentication, and error handling • Experience with Airflow, Azure Data Factory, AWS Glue, or equivalent orchestration tools • Experience with Git, logging, monitoring, troubleshooting, and production support • Exposure to dbt, streaming/event-driven architectures, CI/CD, and Docker preferred or advantageous • Understanding of analytical data modeling and datasets for reporting and self-service analytics • Good communication and problem-solving skills • Ability to work independently while collaborating closely with the Data Engineering Lead

🏖️ Benefits

• Exceptional work environment surrounded by helpful colleagues • Open door policy and constant connection with leadership team • Opportunities for skill development through diversified learning initiatives, including code combat, meetups, and knowledge booster sessions • Collaboration with teammates across geographies • Autonomy and creative freedom • Opportunity to make a visible impact • Learning, upskilling, and leadership opportunities • Equal opportunity workplace and commitment to diversity