Snowflake Data Engineer

Role OverviewWe’re seeking a Snowflake Data Engineer / Sr Data Engineer passionate about building scalable, cloud-native data solutions using Snowflake, dbt, and modern ETL frameworks. You will design, implement, and support data architectures and pipelines that support analytics, reporting, and AI-driven use cases for global clients.You’ll work within a consulting team that collaborates with clients across industries to solve complex data challenges. You will get involved in designing efficient data pipelines, supporting and maintaining them, optimising performance, and ensuring data integrity across the stack.Core ResponsibilitiesCollaborate with senior consultants to design and implement data solutions that solve business problems for clients.Actively participate in client meetings and engage with stakeholders to ensure successful project outcomes.Design, develop and maintain data pipelines and ETL/ELT workflows for ingestion, transformation, and reporting using Snowflake and modern orchestration tools such as dbt, Matillion, Airflow, or ADF.Manage and optimize Snowflake environments, including but not limited to warehouses, databases, schemas, and access controls, ensuring cost efficiency and performance.Ensure data quality, track lineage, and establish governance through modern cloud-first tools (Great Expectations, dbt, CI/CD).Support integration with BI platforms like Power BI, Sigma, Tableau, or Looker, enabling reliable analytics deliveryContribute to continuous improvement in data engineering practices, automation, and infrastructure-as-code.Collaborate in a fully remote, Agile-like environment using tools like Slack, GitHub, and Trello (with a lot of uninterrupted development time)Strong problem-solving and quantitative skills with excellent written and verbal communication abilities.QualificationsAt least 3+ years of hands-on experience in Snowflake, data engineering, and ETL/ELT and familiarity with concepts such as query optimization, Snowpipe, time travel, zero-copy cloning, clustering, and data sharing.Proficiency in SQL and Python (or PySpark) for data transformation and automation.Experience with ETL/ELT tools such as DBT, Matillion, Fivetran, Coalesce or SSIS.Experience with cloud ecosystems such as AWS, Azure, or GCP.Hands-on experience with version control (Git) and CI/CD (Jenkins, Azure DevOps, or similar).Familiarity with a cloud data warehouse data platform, such as Snowflake, Databricks, Azure Synapse, Amazon Redshift, and/or Google BigQuery.Familiarity with data orchestration and monitoring tools like Airflow, Control-M, or DataDog.Experience working with Business Intelligence/Data Visualization tools (Power BI, Sigma, Tableau,Looker etc.).Solid understanding of data warehousing, schema design, and performance tuning.Solid understanding of data modelling concepts with experience designing and implementing data models for applications or reportingImpactron BenefitsImpactron offers an exciting opportunity to join a rapidly growing consulting organization and advance your career as it expands. We provide competitive salaries, strong incentives, and a dedicated focus on employee well-being, encompassing physical health, financial stability, and mental wellness.You’ll engage in projects with leading global organizations, serving as a trusted advisor to deliver meaningful results. This early-stage, dynamic firm, founded by experienced entrepreneurs with decades of success in building, scaling, exiting, and leading multiple enterprises, presents significant potential for professional development. At Impactron, your contributions will be valued, and your growth amplified.Company DescriptionImpactron Global is a UK-based IT consulting company that operates global capabilities centres (GCCs) in India for our global clients. We are setting up an India centre for a leading data and artificial intelligence (AI) consultancy in the US. They help businesses build the strategy, technology, and teams they need to scale growth and efficiency. You’ll be joining a team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who seamlessly integrate with client teams to solve their most challenging business problems.Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. This consultancy is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. It is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company.