4 - 8 years
12 - 18 Lacs
Posted:2 weeks ago|
Platform:
Hybrid
Full Time
We are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have experience in designing, developing, and maintaining scalable data pipelines and architectures using Hadoop, PySpark, ETL processes , and Cloud technologies . Responsibilities: Design, develop, and maintain data pipelines for processing large-scale datasets. Build efficient ETL workflows to transform and integrate data from multiple sources. Develop and optimize Hadoop and PySpark applications for data processing. Ensure data quality, governance, and security standards are met across systems. Implement and manage Cloud-based data solutions (AWS, Azure, or GCP). Collaborate with data scientists and analysts to support business intelligence initiatives. Troubleshoot performance issues and optimize query executions in big data environments. Stay updated with industry trends and advancements in big data and cloud technologies . Required Skills: Strong programming skills in Python, Scala, or Java . Hands-on experience with Hadoop ecosystem (HDFS, Hive, Spark, etc.). Expertise in PySpark for distributed data processing. Proficiency in ETL tools and workflows (SSIS, Apache Nifi, or custom pipelines). Experience with Cloud platforms (AWS, Azure, GCP) and their data-related services. Knowledge of SQL and NoSQL databases. Familiarity with data warehousing concepts and data modeling techniques. Strong analytical and problem-solving skills. Interested can reach us at +91 7305206696/ saranyadevib@talentien.com
Talentien Global Solutions
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