▷ (Urgent Search) Senior Data Engineer

6 days ago

Hyderabad India Linkfields Innovations (Pty) Ltd Full time

Job Description Are you passionate about building scalable data pipelines and enabling real-time analytics Do you enjoy designing and optimizing data architectures that power business intelligence, AI, and advanced analytics If so, Linkfields invites you to be part of its Data & AI Center of Excellence (CoE) as a Senior Data Engineer. Responsibilities and Duties - Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. - Build and optimize data architectures to support analytics, machine learning, and reporting workloads. - Work with real-time streaming data using tools like Kafka, Spark Streaming, or Azure Event Hubs. - Integrate data from multiple sources (databases, APIs, cloud platforms, IoT devices). - Ensure high data quality, consistency, and reliability through validation and monitoring. - Collaborate with Data Scientists, Analysts, and Application Developers to deliver business use cases. - Implement best practices for data modeling, partitioning, indexing, and query optimization. - Manage and optimize cloud-based data platforms (Azure Data Lake, AWS S3, Google BigQuery, Snowflake). - Establish data governance, lineage, and metadata management practices. - Automate workflows using orchestration tools such as Airflow, Azure Data Factory, or AWS Glue. Desired Experience & Qualification - Bachelor's or Master's Degree in Computer Science, Data Engineering, or related field. - 7 years of hands-on experience as a Data Engineer, with strong expertise in ETL/ELT design and implementation. - Proficiency in SQL and experience with relational and NoSQL databases (SQL Server, MySQL, MongoDB, Cassandra). - Strong experience with real-time data processing frameworks (Kafka, Spark Streaming, Flink). - Hands-on experience with data integration and orchestration tools (Airflow, Data Factory, AWS Glue, dbt). - Experience with big data platforms (Hadoop, Spark, Databricks). - Strong knowledge of cloud data services (Azure Synapse, AWS Redshift, GCP BigQuery, Snowflake). - Excellent problem-solving and optimization skills for handling large-scale datasets. - Proficiency in Python/Scala/Java for building data pipelines. Preferred Qualifications: - Experience in designing event-driven data architectures and microservices. - Knowledge of containerization and orchestration (Docker, Kubernetes). - Exposure to machine learning workflows and MLOps for data preparation. - Familiarity with data governance frameworks and compliance standards (GDPR, HIPAA). - Cloud certifications in Azure Data Engineer, AWS Big Data, or GCP Data Engineer tracks.

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