Senior Data Engineer - Analytics

RevSpring; Jhajjar; Remote; INR 900,000 - 1,300,000; Full time

Job summary

A leading data solutions company is seeking a Data Engineer to design and maintain data pipelines, ensuring data quality and integrity. The role requires experience with ETL tools such as Python and SQL, knowledge of cloud services, and the ability to work with complex data challenges. Candidates should possess a BS degree or equivalent experience. This position offers a chance to innovate in a supportive team environment and requires effective communication with both technical and non-technical stakeholders.

Qualifications

• Ability to diagnose complex data challenges and develop plans to address them.
• Proficient in ETL processes and modern tools.
• Familiarity with AI tools to enhance productivity.

Responsibilities

• Collaborate with teams to design data pipelines.
• Ownership of the codebase, improving and maintaining it.
• Participate in architecture review decisions.

Skills

Ability to approach complex data challenges

Experience owning data integrity

Experience with ETL pipelines and tools

Creating analytic dashboards

Leveraging AI tools

Working with database technologies

Using cloud services like AWS and GCP

Education

BS Degree or equivalent work experience

Tools

Python

SQL

Airflow

DBT

PowerBI

Looker

Tableau

Postgres

BigQuery

Redshift

AWS

Azure

GCP

Job description

Location: Boston, MA

Job Id:1116

# of Openings:1

Essential Functions

• Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
• Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
• Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
• Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
• Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
• Provide feedback and participate in pair programming exercises.

Success in this role

• Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs
• Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
• Business teams and Customers are empowered with AI assisted insights without dependency on engineering
• Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight
• Contribute to the team culture where innovation, autonomy, and accountability thrive

Specific Job Skills

• Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
• Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
• Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
• Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
• Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
• Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
• Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
• Experience with cloud services such as AWS, Azure, GCP.Experience in developing large scale data models and complex data pipelines.

Preferred Skills

• Preferred: Experience in working with large slow changing dimension data models
• Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.

Education:BS Degree or equilivent work experience

Supervision:N/A

Certifications:N/A

Language Skills

Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.

Physical Capabilities

The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Note

This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.