| Big Data Engineer || Remote || 10+ years at Remote, Remote, USA |
| Email: [email protected] |
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Greetings from ICONIC Infosys Inc !! ICONIC Infosys Inc is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialists into mainstream and niche technologies to meet clients Temporary, Permanent & SOW project needs. Job Title/Role: Big Data engineer Location Remote Duration : Long Term Mandatory skills : Apache Spark/ Hive/ Kafka/ Amazon Glue/ Google Dataflow/ Talend MDM/ Hadoop/ Presto/ Strong experience with MySQL, PostgreSQL, MongoDB, Cassandra. Job Description: Were seeking a highly skilled Data Engineer, Big Data Engineer to build scalable data pipelines, develop ML models, and integrate big data systems. You'll work with structured, semi-structured, and unstructured data, focusing on optimizing data systems, building ETL pipelines, and deploying AI models in cloud environments. Key Responsibilities: Data Ingestion: Build scalable ETL pipelines using Apache Spark, Talend, AWS Glue, Google Dataflow, Apache NiFi. Ingest data from APIs, file systems, and databases. Data TransformationValidation: Use Pandas, Apache Beam, and Dask for data cleaning, transformation, and validation. Automate data quality checks with Pytest, Unittest. Big Data Systems: Process large datasets with Hadoop, Kafka, Apache Flink, Apache Hive. Stream real-time data using Kafka, Google Cloud PubSub. Task Queues: Manage asynchronous processing with Celery, RQ, RabbitMQ, or Kafka. Implement retry mechanisms and track task status. Scalability: Optimize for performance with distributed processing (Spark, Flink), parallelization (joblib), and data partitioning. CloudStorage: Work with AWS, Azure, GCP, Databricks. Store and manage data with S3, BigQuery, Redshift, Synapse Analytics, and HDFS. Required Skills: ETL Data Processing: Expertise in Apache Spark, AWS Glue, Google Dataflow, Talend. Big Data Tools: Proficient with Hadoop, Kafka, Apache Flink, Hive, Presto. Databases: Strong experience with MySQL, PostgreSQL, MongoDB, Cassandra. Machine Learning: Hands-on with TensorFlow, PyTorch, Scikit-learn, XGBoost. Cloud Platforms: Experience with AWS, Azure, GCP, Databricks. Task Management: Familiar with Celery, RQ, RabbitMQ, Kafka. Version Control: Git for source code management. Desirable Skills: Real-time Data Processing: Experience with Apache Pulsar, Google Cloud PubSub. Data Warehousing: Familiarity with Redshift, BigQuery, Synapse Analytics. Scalability Optimization: Knowledge of load balancing (NGINX, HAProxy) and parallel processing. Data Governance: Use of MLflow, DVC, or other tools for model and data versioning. Tools Technologies: ETL: Apache Spark, Talend, AWS Glue, Google Dataflow. Big Data: Hadoop, Kafka, Apache Flink, Presto. Databases: MySQL, PostgreSQL, MongoDB, Cassandra. Cloud: AWS, GCP, Azure, Databricks. Storage: S3, BigQuery, Redshift, Synapse Analytics, HDFS. Version Control: Git. -- Thanks & Regards, Preethi Email : [email protected] Iconic Infosys -- To post to this group, send email to [email protected]. Keywords: artificial intelligence machine learning sthree information technology Big Data Engineer || Remote || 10+ years [email protected] |
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| 11:11 PM 27-Jan-25 |