Hadoop, spark, scala data engineer

Desired Experience Range: 5-8 years

Location: Bangalore, Chennai and Hyderabad

Roles Responsibilities-

Proficiency with Big Data, Spark, HDFS, Kafka, Scala, AWS, Azure, GCP, ETL, Hadoop, Hive etc. Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks. Expertise in SQL and No SQL databases Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams. In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google Big Query, and Snowflake for building and managing data warehouses. Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Ni Fi, Talend, or Informatica. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services. Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility. Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data. Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle. Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.