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Data Engineer
R SystemsJamnagar, IN24 days ago
Job descriptionSpark Core API : RDDs, transformations / actions, DAG execution. Spark SQL : DataFrames, schema optimization, UDFs. Streaming : Structured Streaming, Kafka integration. Data Handling : S3, HDFS, JDBC, Parquet, Avro, ORC. Orchestration : Airflow / Prefect. Performance Tuning : Partitioning, caching, broadcast joins. Cloud Deployment : Databricks, AWS EMR, Azure HDInsight, GCP Dataproc. CI / CD : Pytest / unittest for Spark jobs, Jenkins, GitHub Actions. Bachelor’s / Master’s in Computer Science, Computer Engineering, or equivalent. Strong analytical, problem-solving, and communication skills. Design, build, and optimize data pipelines and ETL workflows . Manage and process large datasets using Spark, PySpark, and SQL . Build and maintain real-time streaming applications with Spark Streaming / Kafka. Collaborate with data scientists and product teams to integrate AI / ML models into production. Ensure data quality, scalability, and performance in all pipelines. Deploy and manage Spark workloads on cloud platforms (AWS, Azure, GCP, Databricks) . Automate testing and deployment of Spark jobs via CI / CD pipelines. Bachelor’s / Master’s degree in Computer Science, Computer Engineering, or related field. Minimum 4 years of professional experience as a Data Engineer. Strong expertise in Python, Spark, PySpark . Hands-on experience with Spark SQL, DataFrames, UDFs, DAG execution . Knowledge of data ingestion tools (Kafka, Flume, Kinesis) and data formats (Parquet, Avro, ORC). Proficiency in Airflow / Prefect for scheduling and orchestration. Familiarity with performance tuning in Spark (partitioning, caching, broadcast joins). Experience deploying on Databricks, AWS EMR, Azure HDInsight, or GCP Dataproc . Exposure to testing and CI / CD for data pipelines (pytest, Jenkins, GitHub Actions). Onshore : As per market standards.
Job Title : Data Engineer
Contract Period : 12 Months
Location : Offshore candidates accepted (Singapore Based Company)
Work Timing : 6.30 AM to 3.30 PM or 7.00 AM to 4.00 PM (IST - India timing)
Experience
- Minimum 4+ years as a Data Engineer or similar role.(Please don't apply if less than 4 years exp in Data Engineer)
- Proven experience in Python, Spark, and PySpark (non-negotiable).(mandatory
- Hands-on in building ETL pipelines, real-time streaming, and data transformations .
- Worked with data warehouses, cloud platforms (AWS / Azure / GCP) , and databases .
✅ Technical Skills
✅ Education & Soft Skills
About the Role
We are seeking an experienced Data Engineer to join our team and support data-driven initiatives. This role involves building scalable pipelines, working with streaming data, and collaborating with data scientists and business stakeholders to deliver high-quality solutions.
Key Responsibilities
Requirements
Budget
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Data Engineer • Jamnagar, IN
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