We are seeking a Senior Data Engineer with 5-8 years of experience. It requires creating and managing technical solutions on the modern data stack (Azure, Snowflake, fivetran), architecting, building, and managing data flows/pipelines and constructing data models within Snowflake to be used for other downstream processes or for analysis purposes.About thinkbridgethinkbridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking.thinkbridge is a place where you can: Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.thinkbridge…there’s a new way there. ™What is expected of you?As part of the job, you will be required toDesign, develop, and maintain scalable data pipelines and analytics solutionsCollaborate with stakeholders to gather requirements and translate business needs into technical solutionsDevelop efficient code with unit testing and code documentationEnsuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solvingOptimize and fine-tune data models, SQL queries, and transformations for performance and scalabilityDesign, develop, and maintain scalable data models and transformations in conjunction with Snowflake, ensure the effective transformation and load data from diverse sources into data warehouse or data lake.Integrate FiveTran connectors to streamline data ingestion from various sources into SnowflakeDevelop custom Python scripts and functions to automate data workflows and enhance system capabilitiesCollaborate with data engineers to automate and orchestrate data pipelines.Provide technical expertise and support to resolve data-related issues and troubleshoot system failuresCollaborate with the API development team to integrate data pipelines with external systems and applicationsImplement techniques for query optimization, caching, and workload management.Perform regular audits and troubleshooting to maintain system performance.Implement and manage data security measures, including access controls, encryption, and data masking.Ensure compliance with data governance policies and regulatory requirements.Communicate with all the project stakeholders on the project statusLead and participate in initiatives to enhance data platform capabilities and performance.Stay updated on emerging trends and technologies in data engineering, cloud computing, and analytics domainIf your beliefs resonate with these, you are looking at the right place! Accountability – Finish what you started.Communication – Context-aware, pro-active and clean communication.Outcome – High throughput.Quality – High-quality work and consistency.Ownership – Go beyond.Requirement Must-Have: Bachelor's degree in computer science, Engineering, or a related fieldProven experience of at least 5 years as a data engineer, ETL developer, or similar role, with a focus on Python and SnowflakeStrong proficiency in SQL and database concepts, with hands-on experience in Snowflake data warehouseStrong proficiency in programming languages such as Python for data manipulation, automation, and scripting. Expertise in Azure durable functionsKnowledgeable in relational databases, nonrelational databases, data pipelines (ELT/ETL), and file storesKnowledgeable in performance tuning and optimizationExperience with cloud platforms like Azure and tools like Azure OCR for data extraction and processingFamiliarity with data integration tools like FiveTranKnowledge of API development principles and experience integrating data pipelines with external systemsFamiliarity with CI/CD pipelines and version control systems (e.g., Git).Proficient in written, verbal and presentation communication (English)Ability to work effectively in a fast-paced, collaborative environment and manage multiple prioritiesExcellent analytical, problem-solving, and communication skillsAbility to work effectively in a fast-paced, collaborative environment and manage multiple prioritiesSnowflake certification (SnowPro Core, SnowPro Advanced)Our Flagship Policies and Benefits: Remote FirstWorking hours 2.00 PM IST –11.30 PM ISTNo loss of pay for pre-approved leaves.Family InsuranceQuarterly in-person Collaboration Week -WWW
Job Title
Senior Data Engineer