Data Engineer

🔥 33 minutes ago

🇮🇳 India – Remote

💵 ₹400k - ₹600k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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• Just posted.
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Sago

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

📣 Marketing

🏥 Healthcare

Marketing • Healthcare • Market Research

Sago is a long-standing industry leader providing qualitative and quantitative market research solutions with over 55 years of experience. The company offers a comprehensive suite of services, for instance, global qualitative and quantitative research, neuromarketing, and consulting. Sago serves a wide range of industries including consumer packaged goods, financial services, media, and healthcare. They are committed to forming deep customer connections through adaptive solutions and a consultative approach, including leveraging AI technology such as their Query AI feature to enhance insights and research efficiency.

📋 Description

• 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.

🎯 Requirements

• 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: Experience with AWS services such as Amazon S3, Athena, EMR, and EMR Serverless. • Preferred: Experience with Apache Spark, Delta Lake, Apache Airflow, Dremio, or Trino-compatible SQL engines. • Preferred: Familiarity with Power BI, Apache Superset, or other downstream reporting tools. • Preferred: Experience with REST APIs, SharePoint integrations, and automated file-delivery workflows. • Preferred: Understanding of data security, access controls, privacy, and production monitoring practices.

🏖️ Benefits

• 5 Days working • Remote Job • Medical Insurance

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