Job Title: Data Engineer

Experience: 2–10 Years

Employment Type: Full-Time

Location: Bangalore / Mumbai / Gurgaon

Salary: ₹12–45 LPA

Job Summary

We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms. The ideal candidate should have strong expertise in Apache Spark, SQL, and Databricks, with experience handling large-scale data processing, ETL development, and cloud-based data engineering solutions.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize data processing workflows using Apache Spark.
Develop and manage data solutions on Databricks.
Write efficient SQL queries for data extraction, transformation, and analysis.
Integrate data from multiple structured and unstructured sources.
Optimize data models, storage, and pipeline performance.
Ensure high data quality, integrity, and security across platforms.
Collaborate with Data Scientists, Analysts, and Software Engineers.
Troubleshoot production issues and improve system reliability.




Participate in architecture discussions and implement best engineering practices.

Required Skills

Robust experience with Apache Spark
Advanced SQL programming
Hands-on experience with Databricks
ETL/ELT pipeline development
Data Warehousing concepts
Python or Scala (preferred)
Experience with cloud platforms (AWS, Azure, or GCP)
Git and CI/CD fundamentals
Data Lake and Delta Lake concepts
Performance tuning and query optimization

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Experience working with large-scale distributed data processing.
Knowledge of Airflow, Kafka, Snowflake, or Azure Data Factory is an added advantage.
Familiarity with Agile/Scrum development methodologies.

What We Offer

Competitive salary of ₹12–45 LPA
Opportunity to work on enterprise-scale data platforms
Exposure to modern cloud and big data te

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