Software Engineer

Job Title Software Engineer – AWS-Snowflake Data Engineer Expected Work Experience 3 to 6 Years Job Location India Key Roles and Responsibilities Design, develop, and maintain scalable, secure, and high-performance data pipelines using AWS, Snowflake, and Python. Build end-to-end data engineering solutions, covering data ingestion, transformation, validation, storage, and consumption layers. Develop batch and real-time data integration frameworks to support business reporting, analytics, and AI/ML use cases. Create and optimize ELT/ETL processes to ensure efficient data movement across multiple source systems and cloud platforms. Implement robust data quality frameworks and proactively identify, analyze, and resolve data anomalies, inconsistencies, and performance issues. Perform root cause analysis for data-related incidents and implement preventive measures to improve platform reliability. Design and optimize Snowflake data models, schemas, warehouses, and workloads for performance and cost efficiency. Develop reusable Python components, automation scripts, and frameworks to improve engineering productivity and operational efficiency. Collaborate with business, analytics, and technology teams to understand data requirements and translate them into scalable technical solutions. Implement monitoring, alerting, logging, and observability mechanisms for data pipelines and platforms. Follow and promote engineering best practices, including code reviews, version control, CI/CD, automated testing, documentation, and secure development standards. Ensure adherence to data governance, security, compliance, and access control requirements. Continuously evaluate and adopt emerging technologies, tools, and best practices to improve the overall data platform ecosystem. Skills & Competencies Technical Skills Strong hands-on experience with AWS services such as S3, Lambda, Glue, Airflow, EventBridge, IAM, and related cloud-native services. Advanced proficiency in Snowflake , including procedures, data modeling, performance tuning, Snowpipe, Streams, Tasks, Dynamic Tables, and security frameworks. Strong programming skills in Python with experience developing scalable data processing frameworks and automation solutions. Expertise in building and maintaining end-to-end data pipelines in cloud environments. Strong knowledge of SQL and database design principles. Experience with data orchestration and workflow management tools such as Airflow or equivalent. Experience working with structured, semi-structured, and unstructured data. Knowledge of data quality, data lineage, metadata management, and monitoring practices. Familiarity with API integrations, data lake architectures, and modern analytics platforms. Competencies Strong analytical and problem-solving skills with the ability to identify and resolve complex data issues. Proven ability to detect, investigate, and remediate data anomalies and quality concerns. Strong understanding of scalable architecture and data engineering design patterns. Commitment to coding standards, development best practices, and documentation. Excellent stakeholder communication and collaboration skills. Ability to work independently in a fast-paced, agile environment. Continuous learning mindset with a focus on innovation and operational excellence. Strong ownership, accountability, and attention to detail. Other Pointers Experience bracket for this requirement in terms of years – 3 to 6 years Qualification criteria like education/certifications/skillsets – Education – B. Tech. Certifications – preferable - Snowflake or AWS certified data engineer Skillsets – AWS (S3, Lambda, Glue, Airflow, IAM, etc.), Snowflake, Python Dedicated/Remote Support – Dedicated Service window like time -9 AM To 6 PM days – Monday to Friday region like india/global – India, IST location of service – Kurla office Deliverables like documentation/knowledge transfer – Yes. Documentation of all jobs/ design diagrams, etc. and KT needs to be completed before marking the project as completion.