Data Engineer

Note- Immediate joiners will be given preference !

Type - Contractual

Mode- first one month Work from office , then remote

Design, develop, and maintain robust and scalable data pipelines to support data integration, transformation, and analytics
Build and maintain data architecture for both structured and unstructured dataDevelop and optimize ETL processes using tools such as Apache Spark, Kafka, or AirflowWork with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutionsEnsure high data quality and integrity across the pipelineImplement data security and governance standardsMonitor and troubleshoot performance issues in data pipelinesProficiency in SQL and experience with relational and NoSQL databasesHands-on experience with data pipeline toolsGood understanding of data warehousing concepts and toolsStrong communication and collaboration skillsAnalytical mindset and attention to detailFamiliarity with SSRS (SQL Server Reporting Services) for creating reportsExpertise in SQL query optimization, stored procedures, and database tuningHands-on experience with data migration and replication techniques, including Change Data Capture (CDC) and SQL Server Integration Services (SSIS)Strong understanding of dimensional modelling and data warehousing concepts, including star and snowflake schemas.Familiarity with Agile methodologies and DevOps practices for continuous integration and deployment (CI/CD) pipelines.Familiarity with Data Cubes

Soft Skills would include :
Good problem solving and decision making skillsDynamic self-starter, independent (but confident to ask questions to clarify), adaptable and able to handle pressure.Good communication skills and team playerAttention to detailCurious and Continuous learning mindsetTime management skillsAccountability and ownership