Senior Data Engineer

Life at Ness:

At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job - it’s a place where your ideas, ambition, and well-being matter.

Job Description:

We are looking for a Senior Data Engineer with added emphasis on data analysis and Salesforce knowledge, which would be a nice-to-have. We are looking for someone who has excellent problem-solving and debugging skills, a keen eye for detail, and a high level of commitment and motivation. The ideal candidate should be capable of working independently and collaboratively, taking the lead.

Effective communication with management and stakeholders about issues, incidents, and updates in a timely manner is also paramount. Further, this would require the Engineer to work in hybrid mode, 3-4 days from office.

Key requirements for the position:

• A robust background in AWS services such as Lambda, Glue, S3, EMR, SNS, SQS, Cloud Watch, Redshift, and Bedrock.
• Strong expertise in SQL and relational databases like Oracle, MySQL, and Postgre
  
  SQL.
• Familiarity with the Salesforce platform, including data models and objects.
• Proficiency in Python programming for data engineering tasks.
• Skilled in scripting for task and process automation.
• Experience with Tableau dashboards and troubleshooting.

Some of the additional good to have skills are knowledge of machine learning tooling/frameworks (such as scikit-learn or Tensor Flow) and AI/LLM knowledge, particularly with foundation models, RAG, embeddings, vectors, prompt engineering, and MCP.