Job Type: Full Time
Location: Pune, India
Experience: 4–8 Years
Job Summary
We are looking for an experienced Data Engineer with strong expertise in big data technologies, data pipelines, distributed processing, and data modeling.
The ideal candidate should have a minimum of 4 years of hands-on experience with core technologies and possess excellent communication skills.
Must-Have Skills Category Skills / Experience Programming Languages Python (PySpark), SQL, Java Big Data Frameworks Apache Spark Workflow Orchestration Apache Airflow Streaming & Messaging Apache Kafka Operating System Solid familiarity with Linux/Unix environments and shell scripting Data Engineering Experience in data ingestion, ETL/ELT pipeline development, data transformation, data cleansing, and data quality validation Data Modelling Experience in logical and physical data modeling, schema design,
and data warehouse concepts Good-to-Have Skills Category Skills / Experience API Integration Experience developing or consuming RESTful APIs Stream Processing Experience with Apache Flink or other real-time stream processing frameworks Key Requirements
- Minimum 4 years of relevant experience in Data Engineering.
- Strong hands-on experience with Python (PySpark), SQL, and Java.
- Strong knowledge of Apache Spark, Apache Airflow, and Apache Kafka.
- Good understanding of Linux/Unix environments and shell scripting.
- Experience building and managing data ingestion and ETL/ELT pipelines.
- Strong understanding of data transformation, cleansing, and data quality validation.
- Experience with logical and physical data modeling.
- Understanding of schema design and data warehouse concepts.
- Excellent communication and stakeholder-management skills.
- Experience with REST APIs and Apache Flink/real-time stream processing will be an advantage.
Benefits & Perks
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📌 Data Engineer (Pune)
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📍 Pune
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