Cloud Data Integration Engineer

1 week ago

Bengaluru, India Bhavitha Tech, CMMi Level 3 Company Full time

We are seeking a talented and experienced Data Engineer with 3 -5 years experience to join our team, focusing on building and optimizing our data pipelines and architecture. The ideal candidate will be a hands-on contributor with a strong background in real-time data processing, modern data warehousing, and robust database design.Key Responsibilities● Design, develop, and maintain scalable, high-performance ETL/ELT pipelines for both batch and real-time data processing.● Implement and manage data solutions using Apache Flink for stream processing and low-latency data ingestion.● Work extensively with Snowflake to manage and optimize our cloud data warehouse environment, focusing on cost-efficiency and query performance.● Develop robust data models and schemas within StarRocks DB and other analytical stores to support business intelligence and reporting needs. ● Write clean, efficient, and well-tested code, primarily in Java, for data transformation and integration services.● Ensure data quality, integrity, and compliance across all data assets.● Collaborate with data scientists and analysts to implement and optimize models, including those related to statistical modeling and sampling.● Monitor, troubleshoot, and optimize the data platform infrastructure and tools.Education & Experience● Experience: 3 - 5 years of professional experience in a Data Engineering, Software Engineering, or similar role.● Academic: Bachelor of Engineering or Master of Computer Applications in Computer Science, Information Technology, or a related quantitative field.Core Technical Skills● Stream Processing: Deep expertise in Apache Flink (or similar technologies like Apache Kafka Streams/Spark Streaming).● Programming: Strong proficiency in Java. Python is a significant plus.● Data Warehousing: Hands-on experience with cloud data warehouses, specifically Snowflake.● Databases: Expertise in analytical databases like StarRocks DB and strong familiarity with traditional relational (e.G., PostgreSQL, MySQL) and NoSQL databases.● Data Fundamentals: Strong understanding of Data Engineering principles, including data modeling (e.G., Dimensional Modeling, Data Vault), schema design, and data governance.Desired Skills and Tools● Cloud Platforms: Experience with major cloud providers (AWS, Azure, or GCP) services relevant to data (e.G., S3/ADLS/GCS, EMR/Dataproc, Lambda/Cloud Functions).● Data Orchestration: Proficiency with workflow management tools like Apache Airflow or similar (e.G., Dagster, Prefect).Big Data Ecosystem: Familiarity with the broader Apache ecosystem, particularly Apache Kafka for message queuing and Apache Spark (batch processing).● Containerization: Working knowledge of Docker and Kubernetes for deploying and managing data services.● DataOps/DevOps: Experience with CI/CD practices and tools (e.G., Git, Jenkins) applied to data pipelines.● Data Governance & Quality: Understanding of tools and methods for metadata management, lineage tracking, and automated data quality checks (e.G., Great Expectations).● Other Skillsets: Practical application of statistical modeling and sampling techniques in a data pipeline context.

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