Job Overview
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A Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures to support data analytics and business intelligence. They work with large datasets, ensuring efficient data processing, storage, and retrieval. Using tools like SQL, Python, Apache Spark, and cloud platforms, they optimize data workflows and ensure data quality, security, and scalability. Data Engineers collaborate with data scientists and analysts to enable data-driven decision-making.
Tech Stack Required
1️⃣ Programming Languages:
- Python (Pandas, NumPy, PySpark)
- SQL (PostgreSQL, MySQL, SQL Server)
- Scala (for Apache Spark)
- Java (optional for ETL jobs)
2️⃣ Databases & Data Warehouses:
- Relational Databases: MySQL, PostgreSQL, SQL Server
- NoSQL Databases: MongoDB, Cassandra
- Data Warehouses: Amazon Redshift, Google BigQuery, Snowflake
3️⃣ Big Data & Processing Frameworks:
- Apache Spark (PySpark, SparkSQL)
- Hadoop Ecosystem (HDFS, Hive, MapReduce)
- Apache Kafka (Real-time data streaming)
4️⃣ Cloud Platforms:
- AWS (S3, Glue, Redshift, Lambda)
Job Detail
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Job ID 178572
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Download Job PDF Click here to download
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Name/Company NameDehomes
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Websitehttps://www.dehomes.com
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Tags (comma separated)Apache, Java, Hadoop
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Salary$1000000
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Start Date15.03.2026
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CityPune, India