Data Engineer

2 days ago

Mumbai Maharashtra India, Maharashtra Straive Full time

Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures that support the organization's analytics and reporting needs. The ideal candidate will have strong expertise in SQL Server, Snowflake, and data warehousing concepts, ensuring efficient and reliable data flow across systems.Key Responsibilities: Design, develop, and optimize ETL/ELT pipelines to integrate data from multiple sources into the data warehouseWork with SQL Server and Snowflake to manage structured and semi-structured datasets. Implement and maintain data models, schemas, and performance tuning for analytics workloadsEnsure data quality, consistency, and reliability across the data lifecycleCollaborate with data analysts, BI developers, and business stakeholders to deliver scalable data solutionsAutomate data loading, transformation, and monitoring processes using modern data engineering tools. Implement best practices for data governance, security, and complianceTroubleshoot data-related issues and optimize system performanceRequired Skills & Qualifications: Bachelor’s degree in Computer Science, Information Systems, or a related field. 3–6 years of experience as a Data Engineer or in a similar roleStrong proficiency in SQL Server (T-SQL, stored procedures, query optimization)Hands-on experience with Snowflake (data sharing, virtual warehouses, performance tuning)Solid understanding of data warehousing principles, star/snowflake schemas, and dimensional modelingExperience with ETL tools (e.g., dbt, SSIS, Informatica, or Airflow)Proficiency in at least one scripting language (Python, Shell, etc.)Knowledge of cloud platforms (AWS, Azure, or GCP) is a plusStrong analytical thinking and problem-solving abilitiesExcellent communication and documentation skillsPreferred Skills: Experience with BI tools such as Power BI, Tableau, or LookerFamiliarity with data versioning and CI/CD practices in data engineeringUnderstanding of data lake and real-time streaming architecturesExperience working in Agile environments

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