Data Engineer

Supersourcing • Python • SQL • Power BI • ETL/ELT • 7 days ago
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Salary
≈ $21k – $42k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 21, 2026.

Overview
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Supersourcing

Supersourcing connects companies with vetted software development agencies and engineers. Its marketplace screens vendors on delivery track record and technical depth. Startups use it to assemble outsourced product teams.
supersourcing.com • HQ: Indore, India • Freelance & Talent Marketplaces • 11-50 employees • Est. 2018

Key Responsibilities :

- Develop and maintain scalable data pipelines using Databricks and Apache Spark.

- Build, optimize, and maintain ETL/data processing pipelines for large-scale data workloads.

- Perform data extraction, transformation, and processing using Python, PySpark, and SQL.

- Design and implement data models and data warehousing solutions.

- Develop and optimize Databricks notebooks for data processing, exploration, and analysis.

- Monitor pipeline performance and troubleshoot data processing and performance issues.

- Collaborate with data scientists, data analysts, and business stakeholders to deliver data solutions.

- Support analytics, reporting, and BI initiatives using Power BI.

- Work with cloud-based data platforms and services across AWS, Azure, or GCP.

- Ensure data quality, reliability, and performance across data engineering workflows.

Tech Stack :

- Databricks, Python, PySpark/Apache Spark, SQL, Power BI, AWS/Azure/GCP.

Additional Requirements :

- Willingness to work remotely with office visits to Pune, Bangalore, or Hyderabad whenever required based on business/project needs.

- Availability for weekend interview drives may be required based on the hiring schedule.

Skills

Databricks, Python, Apache Spark, SQL, ETL, Data Engineering, Data Warehousing, Microsoft Fabric, Data Modeling

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