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Fusemachines is Looking for Data Engineer AWS Redshift at Pune Full Time

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in Data, Analytics and AI to transform companies around the world.

About the role:

We are seeking a highly skilled and experienced AWS Data Engineer to join our team as a remote, full time consulting team on contract basis, working in easter/central US hours. In this role, you will be responsible for designing, building, and maintaining the infrastructure and code required for data integration, storage, and processing in an efficient and optimized matter, for a media company focus on consumer preferences, attitudes and behaviors by collecting data through surveys and passively measured data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software.

Qualification / Skill Set Requirement:

  • 3+ years of real-world data engineering development experience with AWS (certifications a plus) and 5+ years in engineering roles.

  • Proficient in one or more languages such as Python, C#, and writing efficient and optimized code for data integration, storage, processing and manipulation.

  • Strong understanding and experience with SQL and writing advanced SQL queries, and query optimization.

  • Strong knowledge SDLC tools and technologies, including project management software (Jira), source code management (GitHub), CI/CD system (GitHub actions, AWS CodeBuild or similar) and binary repository manager (AWS CodeArtifact or similar).

  • Sound understanding of Data Modeling and Database Design Principles. Being able to design and implement efficient database schemas as requirements.

  • Skilled in Data Integration from different sources such as APIs, SQL/NoSQL databases, flat files, event streaming in different formats.

  • Strong experience in working with ELT and ETL tools and being able to develop custom integration solutions as needed. Designing and implementing Data Warehousing solutions

  • Experience with scalable and distributed Data Technologies such as Spark/PySpark, DBT and Kafka.

  • Expert in Cloud Computing in AWS and Azure, including knowledge of a variety of AWS services like Redshift, Lambda, Kinesis, S3, Lake Formation, EC2, ECS/ECR, IAM, CloudWatch, CosmoDB, etc

  • Understanding of Data Quality and Governance, including implementing data quality checks and data monitoring processes.

  • Great Problem-Solving skills and attention to detail.

  • Experience with relational SQL and NoSQL databases, including Postgres, CosmosDB, MongoDB, ElasticSearch

  • Utilize BI tools, including experience in Data Visualization, to empower data-driven decision-making within the organization

Responsibilities:

  • Follow established design and constructed data architectures. Developing and maintaining data pipelines, ensuring data flows smoothly from source to destination. Handle ELT processes, including data extraction, loading and transformation.

  • Contribute to data quality assurance efforts, such as implementing data validation checks and tests to ensure accuracy, completeness and consistency of data.

  • Test software solutions and meet product quality standards prior to release to QA.

  • Ensure the reliability, scalability, and efficiency of data systems are maintained at all times. Identifying and resolving performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.

  • Work with DevOps teams to optimize our resources, such as storage.

  • Provide guidance and mentorship to junior data engineers, fostering their professional growth.

  • Assist in the configuration and management of data warehousing and data lake solutions.

  • Collaborate closely with cross-functional teams including Product, Engineering, Data Scientists, and Analysts to thoroughly understand data requirements and provide data engineering support.

  • Takes ownership of storage layer, database management tasks, including schema design, indexing, and performance tuning.

  • Evaluate and implement cutting-edge technologies and continue learning and expanding skills in data engineering and cloud platforms.

  • Develop, design, and execute data governance strategies encompassing cataloging, lineage tracking, quality control, and data governance frameworks that align with current analytics demands and industry best practices working closely with Data Architect.

  • Ensure technology solutions support the needs of the customer and/or organization.

  • Define and document data engineering processes and data flows.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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  • Job Title: Fusemachines is Looking for Data Engineer AWS Redshift at Pune
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