[Apply in 3 Minutes] Software Development Engineer

3 weeks ago


Bengaluru, India Gruve Full time

Job Description Position summary: We are seeking a Senior Software Development Engineer Data Engineering with 3-5 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. Key Responsibilities: - Work with cloud-based data solutions (Azure, AWS, GCP). - Implement data modeling and warehousing solutions. - Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. - Designing and optimizing data storage solutions, including data warehouses and data lakes. - Ensuring data quality and integrity through data validation, cleansing, and error handling. - Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). - Implementing data security measures and access controls to protect sensitive information. - Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing. - Develop and maintain Power BI dashboards and reports. - Work with DAX and Power Query to manipulate and transform data. Basic Qualifications - Bachelor's or master's degree in computer science or data science - 3-5 years of experience in data engineering, big data processing, and cloud-based data platforms. - Proficient in SQL, Python, or Scala for data manipulation and processing. - Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric. - Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions. Preferred Qualifications - Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub). - Experience in BI and analytics tools (Tableau, Power BI, Looker). - Familiarity with data observability tools (Monte Carlo, Great Expectations). - Contributions to open-source data engineering projects.



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