Enlite Smart Solutions

Job Description We are looking for an enthusiastic and skilled Data Engineer with hands-on experience in designing, developing, and maintaining scalable data pipelines using distributed data processing technologies. The candidate will work closely with senior engineers and data scientists to support data-driven analytics, insights, and product development. Key Responsibilities Design and develop efficient data pipelines for batch and streaming data processing. Work with big data technologies such as Hadoop, Apache Spark, Apache Flink, and Apache Kafka to handle large-scale datasets. Support the data science and analytics teams by building ETL processes and transforming raw data into usable formats. Collaborate with cross-functional teams to define data ingestion, transformation, and storage strategies. Ensure data quality, consistency, and reliability across multiple systems. Write clean, reusable, and optimized code in Java and Python for data transformation and processing. Participate in performance tuning, monitoring, and troubleshooting of data pipelines. Contribute to data platform improvements and automation initiatives. Technical Skills Required Programming Languages: Strong proficiency in Java and Python . Big Data Frameworks: Hands-on experience with Hadoop, Spark, Flink, and Kafka . Data Pipeline Development: Experience in batch processing and stream processing using Spark Streaming, Flink, or Kafka Streams. Data Storage Systems: Understanding of HDFS, Hive, HBase, or similar data storage technologies. Version Control: Knowledge of Git or similar version control systems. Domain Knowledge (Preferred): Experience in AMI (Advanced Metering Infrastructure) or Energy/Utilities domain will be an added advantage. Job Types: Full-time, Permanent Pay: ₹600,000.00 per year Work Location: In person