- Assist in building APIs, connectors, and automation scripts to ingest metadata and support lineage tracking.
- Assist in the development and maintenance of data platform services and applications using modern programming languages (e.g., Python, Java, Scala).
- Support the design and implementation of data pipelines and APIs to ingest, process, and expose structured and unstructured data.
- Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
- Develop backend processes to support automated metadata ingestion, data profiling, classification, and tagging
- Work with cloud-based data technologies and platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
- Contribute to deploying and maintaining platform components using infrastructure-as-code and containerization tools (e.g., Docker, Kubernetes, Terraform).
- Keeps abreast of current technology trends and familiarize yourself with application development best practices.
- Demonstrate strong initiative and ability to work with minimal supervision or direction
- Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code like Terraform
- In-depth knowledge of relational and columnar SQL databases, including database design
- Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestone, indexing, partitioning)
- Experience with distributed, multi-tiered systems, algorithms, and relational databases.
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code
- Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
- Analyze and understand the functional and technical requirements of applications
- Identify and resolve software bugs and performance issues
- Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time
- Maintain detailed documentation of software designs, code, and development processes
- Customize modules to meet specific business requirements
- Work on integrating with other systems and platforms to ensure seamless data flow and functionality
- Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently.
- Informing various stakeholders about any problems with the current technical solutions being implemented.
- Take ownership and accountability of the deliverables
- Degree in computer science & engineering preferred with 2-5 years of software development experience
- Proficient in Python, Java, CSS HTML
- Hands on experience with various cloud services, understand pros and cons of various cloud services in well architected cloud design principles
- Proficient in programming languages, Java, Python, Fast Python, Databricks/RDS, Data engineering, S3Buckets, ETL, Hadoop, Spark, airflow, AWS Lambda
- Working knowledge of open-source tools such as AWS lambda
- Work with cloud-based data technologies and platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks)
- Contribute to deploying and maintaining platform components using infrastructure-as-code and containerization tools (e.g., Docker, Kubernetes, Terraform)
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
- Experience in Python or Java or Scala is desirable
- Strong knowledge of data modelling, ETL processes, and database technologies
- Experience with big data processing frameworks (Hadoop, Spark) and data pipeline orchestration tools (Airflow).
- Experienced with API integration, serverless, microservices architecture.
- Experienced with Python, Fast Pythons API
- Experience in Data bricks, PySpark, Spark, SQL, ETL, ELT
- Solid understanding of data governance, data security, and data quality best practices
- Experience with Unit Testing, Building and Debugging the Code
- Experienced with AWS /Azure Platform, Building and deploying the code
- Experience in vector database for large language models, Databricks or RDS
- Experience with DevOps CICD build and deployment pipeline
- Experience in Agile software development methodologies
- Experience in End-to-End testing
- Experience in additional Modern Database terminologies.
- Willingness to work on AI Applications
- Experience with popular large language models
- Experience with LangChain or LlamaIndex framework for language models
- Experience with prompt engineering, model fine tuning
- Knowledge of NLP techniques for text analysis and sentiment analysis
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Description
Basic Qualifications:
Preferred Qualifications:
Good to Have Skills
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