Prana Tree | Data Engineer | india

6 days ago


Delhi, India Prana Tree Full time
Role OverviewWe are looking for a skilled Senior Data Engineer with 4-6+ years of experience to join our team. The ideal candidate will have a strong background in building and optimizing scalable data pipelines, handling complex data sets, and enabling advanced analytics. Experience with machine learning (ML) and natural language processing (NLP) is a bonus but not mandatory.Key Responsibilities• Design, develop, and maintain scalable and efficient data pipelines to process structured and unstructured data.• Build robust data integration frameworks to collect, transform, and store large datasets from diverse sources.• Collaborate with data scientists and ML engineers to prepare data for machine learning and NLP applications.• Implement and optimize data storage solutions such as data lakes, warehouses, and databases (e.g., Snowflake, Redshift, BigQuery).• Ensure data quality, integrity, and governance through effective validation and monitoring mechanisms.• Optimize query performance for large-scale datasets using distributed computing technologies.• Develop and maintain ETL/ELT processes using modern data engineering tools and frameworks.• Stay updated with the latest trends in big data, ML, and NLP technologies and integrate them into workflows when applicable.

Required Skills and Qualifications• 4-6+ years of experience in data engineering or a related field.• Proficiency in working with large, complex datasets in real-time and batch processing environments.• Hands-on experience with data pipeline tools like Apache Spark, Apache Airflow, or dbt.• Strong understanding of cloud data ecosystems, such as AWS (S3, Glue, Redshift), GCP (BigQuery, Dataflow), or Azure (Data Factory, Synapse Analytics).• Proficient in SQL and at least one programming language (e.g., Python, Java, Scala).• Familiarity with distributed systems and frameworks like Hadoop or Kafka.• Solid understanding of data modeling techniques for OLAP and OLTP systems.• Knowledge of CI/CD principles for deploying and maintaining data infrastructure.Nice-to-Have Skills• Experience working with machine learning pipelines or frameworks like TensorFlow, PyTorch, or scikit-learn.• Familiarity with NLP techniques and libraries such as spaCy, BERT, or Hugging Face Transformers.• Knowledge of data visualization tools like Tableau, Power BI, or Looker.• Exposure to graph databases and analytics (e.g., Neo4j, Amazon Neptune).• Relevant certifications in cloud platforms or big data technologies.Why Join Us?• Work remotely with a global, diverse, and highly skilled team.• Opportunities to work on cutting-edge projects involving big data, ML, and NLP.• Competitive compensation and comprehensive benefits.• A culture that encourages innovation, continuous learning, and professional growth.



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