▷ [Urgent] Senior Data Engineer - SQL/Python

Job Description Description If you are a smart & passionate team player - then this Senior Data Engineer [Snowflake] opportunity is for you We at IMRIEL(An Allata Company) are looking for a Senior Data Engineer to implement methods to improve data reliability and quality. You will combine raw information from different sources to create consistent and machine-readable formats. You will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Resourcefulness is a necessary skill in this role. If you truly love gaining new technical knowledge and can add more awesomeness to the team, you are eligible Experience : 4 to 6 years. Location : Vadodara & Pune What You'll Be Doing - Lead the development and implementation of data solutions using the latest tools and technologies, with a focus on Snowflake, SQL, and data modeling. - Design and develop complex data models, including dimensional modeling, to support reporting and analytics. - Collaborate closely with Software Developers, Data Engineers, Testers, and other cross-functional teams. - Diagnose and resolve data-related issues promptly. - Select and implement the appropriate tools and frameworks for development and deployment. - Identify and implement improvements in existing data patterns and development methodologies. - Lead Data Migration & DevOps processes, working closely with Software Developers& Data Engineers. - Automate data processes to enhance efficiency. - Ensure high-quality delivery by adhering to best practices in data engineering. - Stay updated with industry trends and emerging technologies to keep the team ahead of the curve. What You Need Basic Skills : - 4 to 6 years of experience in designing and developing data solutions using Snowflake, SQL, and data modeling techniques. - Expertise in data modeling methods and tools. - Proficiency in SQL and Python for data extraction, transformation, and loading. - Hands-on experience with data warehousing, ETL processes, and data governance. - Experience with relational databases (SQL Server, Oracle, PostgreSQL, MySQL) and unstructured data systems (MongoDB, Cassandra). - Experience with any of the cloud data platforms such as Azure (Data Factory, Databricks, Synapse, Data Lake) or AWS (Lambda, Glue, Redshift). - Knowledge of data mining techniques and database management. - Skilled in optimizing the cost of data services and infrastructure. - Perform continuous monitoring, automation, and refinement of data engineering solutions. - Highly collaborative, with the ability to work effectively in team environments involving both technical and business stakeholders. - Excellent communication, problem-solving, and customer service skills, with the ability to translate technical details into non-technical information. - Strong analytical skills and meticulous attention to detail. Responsibilities - Design, develop, and maintain scalable data architectures using Snowflake and SQL. - Lead the development of ETL pipelines and ensure data quality and consistency. - Optimize data models for performance and scalability. - Collaborate with project stakeholders to define and implement data architecture requirements. - Manage the migration of data from legacy systems to modern solutions. - Implement data quality processes for use with MDM, BI solutions, and data warehouses. - Develop strategies for data migration, database optimization, and architectural solutions for Analytics and Big Data projects. - Ensure the performance, security, and accessibility of data systems. - Troubleshoot and resolve complex technical issues in OLAP/OLTP/DW, Analytics, and Big Data environments. - Mentor other data engineers and promote a culture of continuous improvement. - Create and maintain technical documentation, manuals, and IT policies. Good To Know/have - Certifications in Snowflake. - Experience in Data Mesh architectures. - Cloud certifications (e.g., Azure, AWS, Google Cloud) - Infrastructure as Code (IaC) methodologies and tools. Personal Attributes - A passion for continuous improvement in both technology and process. - Strong interpersonal, problem solving, and organizational skills. - Ability to work independently and manage multiple tasks and projects simultaneously. - Attention to detail and a commitment to delivering high-quality work. (ref:hirist.tech)