Data Engineer
Sago
Data Engineer
Sago
Global market research and data partner
Sago · Gurugram, India (Remote) · Full-time · Posted 2026-11-12
Salary: INR 400,000–600,000
Workplace: remote
Department: Information Technology
We are looking for a Data Engineer with 2–5 years of experience to design, build, and maintain reliable data pipelines and analytics-ready datasets. The ideal candidate will have strong SQL and Python or PySpark skills, hands-on experience with cloud data platforms, and the ability to troubleshoot data-quality, performance, and production issues independently.
Key Responsibilities
· Design, develop, and maintain scalable ETL and ELT pipelines for batch and scheduled data processing.
· Build and optimize data transformations using SQL, Python, and PySpark.
· Ingest and integrate data from databases, APIs, files, SharePoint, and cloud storage.
· Create and maintain curated, analytics-ready datasets for Power BI, Superset, and other reporting platforms.
· Implement data-quality checks, reconciliation controls, monitoring, logging, and failure alerts.
· Troubleshoot pipeline failures, schema mismatches, performance bottlenecks, and data discrepancies.
· Optimize large-scale data processing for runtime, memory, storage, and cost efficiency.
· Automate recurring workflows and schedule production jobs using orchestration tools such as Apache Airflow.
· Maintain technical documentation, data mappings, business rules, and operational runbooks.
· Collaborate with BI analysts, application teams, and business stakeholders to deliver dependable data solutions.
· 2–5 years of professional experience in data engineering, ETL development, or a similar role.
· Strong SQL skills, including joins, common table expressions, window functions, data validation, and query optimization.
· Hands-on experience with Python and/or PySpark for data processing and automation.
· Practical experience building and supporting ETL or ELT pipelines in production.
· Experience working with large datasets, incremental loads, upserts, schema changes, and partitioned data.
· Good understanding of relational databases, dimensional modeling, data warehousing, and file formats such as Parquet, CSV, and JSON.
· Experience with Git or another version-control system and structured deployment practices.
· Strong debugging, analytical, documentation, and stakeholder-communication skills.
Preferred Skills
· Experience with AWS services such as Amazon S3, Athena, EMR, and EMR Serverless.
· Experience with Apache Spark, Delta Lake, Apache Airflow, Dremio, or Trino-compatible SQL engines.
· Familiarity with Power BI, Apache Superset, or other downstream reporting tools.
· Experience with REST APIs, SharePoint integrations, and automated file-delivery workflows.
· Understanding of data security, access controls, privacy, and production monitoring practices.
* 5 Days working
* Remote Job
* Medical Insurance
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Sago helps organizations turn questions about customers into actionable insights by combining qualitative and quantitative research. It serves as a global data partner that connects business questions to human answers through a mix of adaptive, custom-made solutions and extensive audience access. How it works: after defining the client’s needs, Sago collects and analyzes data from people—across surveys, interviews, focus groups, and other methods—and translates findings into clear, decision-ready guidance. The company differentiates itself with a 55+ year track record, global reach, and a steady focus on people, offering tailored research programs rather than generic data dumps. Its goal is to enable confident decisions by deepening understanding of what customers want, need, and pain points.
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