▷ [Apply Now] Data Engineer

1 week ago

Bangalore, India Jobted IN C2 Full time

Overview: The objectives of a Data Engineer typically revolve around designing, implementing, and managing robust data architectures and infrastructures. The Data Engineer will play a key role in driving the organization's data strategy, ensuring the efficient flow and storage of data, and supporting data-driven decision-making processes. Duties & Responsibilities: 1. Data Model Design: - Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data. 1. Data Integration: - Implement robust ELT (Extract, Load, Transform) processes to integrate data from various sources into a unified and consistent format. - Ensure seamless data flow between different systems, databases, and applications. 1. Data Quality: - Implement data validation and cleansing processes to ensure the accuracy and reliability of data. 1. Emerging Technologies: - Stay abreast of emerging technologies and trends in the field of data engineering. 1. Database Management: - Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). 1. Performance Optimization: - Identify and address performance bottlenecks in data processing and storage systems. - Optimize queries, indexing strategies, and data partitioning for improved performance. 1. Scalability and Reliability: - Ensure that data systems are scalable to handle growing volumes of data. - Implement redundancy and fault-tolerance measures to enhance data system reliability. Skills Required: - Strong hands-on expertise with AWS services such as S3, Glue, Lambda, Athena, Redshift, Step Functions, Streaming tools like Apache Kafka / Amazon Kinesis. - Proficiency in Python, PySpark, experience with ELT and orchestration tools - Strong hands-on expertise on Apache Hudi / Apache Iceberg - Strong hands-on expertise In SQL - Experience using GitHub for version control and collaboration - Develop, optimize, and maintain ELT processes for data integration. - Strong communication skills to interface with technical and business stakeholders. Secondary Skills Required: - Knowledge of cloud infrastructure automation (e.g., Terraform, CloudFormation). - Experience with DevOps CICD pipelines and source code management. - AWS Certification, experience in platform automation and monitoring frameworks. Qualifications Required: - Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience. - 7+ years of experience in data engineering or a related role - Proficient in data modeling, ELT development, and database management. - Experience with big data technologies and distributed computing frameworks

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