Sr. Data Analyst

Black Rock Groups; Kentucky; On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Life insurance

Disability insurance

Paid time off

Parental leave

Sick leave

Job summary

Tech Mahindra in Cincinnati, Ohio seeks a Senior Data Engineer with deep Azure Databricks experience to design, build, and maintain scalable data pipelines.

You will collaborate with data scientists and analysts, implement ETL processes, optimize storage, and ensure data governance and compliance.

The role offers a competitive salary range ($140k–$150k) with comprehensive benefits and opportunities to work on cutting‑edge cloud data projects.

Qualifications

• Bachelor's degree in CS/IT or related field
• 5–7 years of data engineering experience
• Strong expertise in Azure Databricks, Spark and Delta Lake
• Proficient in Python, Scala, or Java

Responsibilities

• Design, build, and maintain robust data pipelines on Azure Databricks.
• Collaborate with data scientists and analysts to meet data needs.
• Implement ETL processes for accurate and available data.
• Optimize storage and retrieval for performance and scalability.
• Monitor pipelines and troubleshoot issues.
• Ensure data governance and compliance with standards.
• Document data engineering processes and communicate with stakeholders.
• Stay current with Azure Databricks trends and technologies.

Skills

Azure Databricks

Spark

Delta Lake

Python

Scala

Java

Data modeling

ETL processes

Data warehousing

SQL

Azure cloud

Education

Bachelor's degree in Computer Science/IT

Job description

Job Title: Senior Data Engineer

Location: Ohio, Cincinnati (day 1 onsite)

Years of Experience: 5 7 Years

Job Summary:

We are seeking a highly skilled Senior Data Engineer with a strong background in Azure Databricks to join our dynamic team. The ideal candidate will have 5 7 years of experience in data engineering, with a proven track record of designing, building, and maintaining scalable data pipelines and data solutions. This role requires a deep understanding of data architecture and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and maintain robust data pipelines using Azure Databricks.
• Collaborate with data scientists and analysts to understand data requirements and deliver high quality data solutions.
• Implement data integration processes and ETL workflows to ensure data accuracy and availability.
• Optimize data storage and retrieval processes for performance and scalability.
• Monitor and troubleshoot data pipeline performance and resolve issues as they arise.
• Ensure data governance and compliance with industry standards and best practices.
• Document data engineering processes and maintain clear communication with stakeholders.
• Stay updated with the latest trends and technologies in data engineering and Azure Databricks.

Mandatory Skills:

• Strong expertise in Azure Databricks, including experience with Spark and Delta Lake.
• Proficient in programming languages such as Python, Scala, or Java.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Solid understanding of SQL and experience with relational databases.
• Familiarity with cloud data services and architecture, particularly within the Azure ecosystem.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Skills:

• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of machine learning concepts and frameworks.
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience with data governance tools and practices.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.
• 5 7 years of experience in data engineering or a related role.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

The pay range for this role is $140k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [e-mail].