local of MA :: Data Engineer

Hi,

I hope this email finds you well. I'm reaching out to share an incredible opportunity that I believe aligns perfectly with your skills and aspirations.

Job Title: Data Engineer
Location: Boston MA (Hybrid)
Job Type: Contract

Must be local of MA. 

As a Data Engineer, your primary responsibilities will include:

• Reviewing and understanding all required data sources, both structured and unstructured.
• Developing and testing data pipelines for data ingestion, acquisition, and storage.
• Automating ingestion pipelines and orchestrating them with standard scheduling tools.
• Deploying data engineering jobs on cloud platforms and ensuring proficiency with major hyperscalers (AWS, Azure, or GCP).
• Collaborating with source systems to build metadata and create source-to-target mappings.
• Working with data storage and warehouse teams to ensure optimal performance and tuning of data engineering jobs.

Required Education & Experience:

• Bachelor’s degree or higher in fields such as Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration, or related areas.
• 5+ years of relevant work experience.

Required Soft Skills:

• Strong ownership and accountability in delivering high-quality work while effectively managing priorities and deadlines.
• Ability to recommend and implement improvements to processes.
• Excellent written and verbal communication skills, including the ability to create and deliver presentations.
• Ability to communicate concisely, tailoring messages to the topic, audience, and competing priorities.
• Strong analytical thinking and ability to ask probing questions to drive clarity and make informed decisions.

Technical Skills:

• Expert knowledge of major hyperscaler data engineering tools (e.g., AWS Glue, Spark, Azure Data Factory, Informatica, Talend).
• Preferred experience with Databricks, Snowflake, and related tools in the data ecosystem.
• Experience in building data pipelines optimized for large datasets, including integration, storage, cleansing, and transformation.
• Familiarity with a wide range of data storage solutions and an understanding of efficient utilization.
• Ability to translate data requirements into technical designs, understanding the differences between various storage solutions.
• Experience with the Software Development Lifecycle (SDLC).

Thanks & Regards

Noor Mohammad

Email:  noor@arohatechnologies.com, 

URL: http://www.arohatechnologies.com