Associate Data Engineer

Boeing

4 - 8 years

6 - 10 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

spark python scala ai databricks machine learning data engineering vector databases cloud native sql cloud deep learning apache java apache spark data structures ai services programming language models azure ml architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Responsibilities:

Support: With Solution Architects / Data Architecture support solution design for the service layer for APIs and Data Services for Analytics Lead: API Development, Data migration using ETL/ADF or other means
Lead: Develop business logic as needed for developing and consuming API services Lead: Stakeholder requirements / design for taking the project from scratch to completion
Lead: SQL query creation for complex business functionalities Support / Lead: With Domain Data Architect for data pipeline methods / service in support of additional data types from the Data Strategy Proactive experimentation with an innovation-inclined mindset

Basic Qualifications (Required Skills/Experience):

A Bachelors degree or higher is required as a BASIC QUALIFICATION Strong programming skills in Python, SQL, and/or Scala.
Experience with data engineering using Databricks, Apache Spark [2.4+, 3.1+] & Scala [2.11+] (or Java 11+), Spark SQL, Tuning Spark ETL jobs etc.
Should be proficient with Databases like SQLServer: MS-SQL/T-SQL; Teradata[16.10+]; General awareness of other Databases like ANSI SQL with advanced SQL skills Experience working with Data Warehouses AND/OR Data Lakes Working with *nix VMs OR working with containers [docker/podman/lxc etc.],
container orchestration platforms [CF/Kubernetes/GKE/AKS] Shell scripting [sh/bash], knowlege of *nix VM operation and management [Fedora 28+/RHEL 8+/OL 8+]
Source control systems to manage code and repositories [Git/Mercurial] Experience using continuous integration/deployment tools to continually tweak and deploy code [GitLab-CI other distributed, stateless CI systems]

Preferred Qualifications (Desired Skills/Experience ) :

Data modelling ER mapping, should be able to represent business problems using optimized data structures & schemas Data intensive, cloud native services like Azure AI Services (Azure Open AI) Hands-on experience with vector databases (Weaviate, Chroma, Pinecone), knowledge graph (like neo4j) and similarity search tools Practical knowledge of large language models (LLMs),
LangChain, Deep learning and transformer architectures (e g , GPT-family, Llama) Experience fine-tuning or instruction-tuning LLMs, including adapter methods and parameter-efficient tuning Knowledge on classical Machine Learning (ML) algorithms

Typical Education & Experience:

Education/experience typically acquired through advanced education (e.g. Bachelor) and 4-8 years related work experience or an equivalent combination of education and experience.

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