Associate Data Solutions Architect

Boeing

5 - 8 years

19 - 25 Lacs

bengaluru

Posted:1 month ago| Platform:

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Skills Required

python sql gcp aws etl hive rest oracle microsoft azure data warehousing data architecture elt data engineering business intelligence plsql git unix shell scripting data modeling spark data governance hadoop big data informatica unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Responsibilities:

Contribute to the design, build, and upkeep of data architectures in standard databases and data warehouses
Translate stakeholder requirements into data models for acquisition and implementation
Write Python code for ETL/ELT tasks, data validation, and automation
Build and operate simple, repeatable data pipelines across multi- and hybrid-cloud environments
Develop and support basic data access APIs to enable reliable data consumption
Prepare curated datasets and features to support data scientists analysis and modeling
Create collection frameworks for structured and unstructured data; address low-complexity data issues
Implement data quality checks, monitoring, and clear documentation for datasets and pipelines
Share guidance on data standards, API usage, and Python practices within the team
Apply automation and CI/CD to Python code, pipelines, and APIs for consistent delivery

EMPLOYER WILL NOT SPONSOR APPLICANTS FOR EMPLOYMENT VISA STATUS.

Basic Qualifications (Required Skills/Experience):

Hands-on Python experience for data engineering (ETL/ELT scripting, data validation, and automation)
Working knowledge of SQL and relational databases, including basic data modeling concepts
Ability to integrate data from multiple sources and formats with attention to data quality
Experience building simple pipelines and using scripts or basic orchestration to move data
Familiarity interfacing with RESTful APIs using Python
Experience preparing datasets and features in collaboration with data scientists
Understanding of core cloud concepts and working within multi- or hybrid-cloud setups
Exposure to version control and basic CI/CD workflows (e.g., Git, automated testing)
Effective communication and collaboration with technical and non-technical stakeholders

Preferred Qualifications (Desired Skills/Experience ) :

Production experience creating Python-based pipelines and jobs on AWS, Azure, or GCP
Use of workflow/orchestration tools (e.g., Airflow, Prefect, or Dagster)
Creation and maintenance of data access APIs or SDKs, including authentication and testing
Work with modern warehousing/lake house platforms (e.g., Snowflake, Redshift, BigQuery, Databricks, Delta Lake)
Implementation of CI/CD for data projects (tests, linting, packaging, and deployment for Python code and pipelines)
Experience with containerization and environment management (e.g., Docker, Conda, Poetry) and infrastructure-as-code (e.g., Terraform, CloudFormation)
Knowledge of data governance and security practices (e.g., access control, encryption, PII handling)
Familiarity with streaming or messaging systems (e.g., Kafka, Kinesis, Pub/Sub) and data observability tools
Ability to create technical documentation and mentor peers on Python, data standards, and API patterns

Typical Education & Experience:

Bachelor or Master degree in Computer Science/ Engineering ( Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) with 5 to 8 years experience.

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