This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Operations Engineer 2 in India.In this role, you will design, build, and maintain robust, scalable data pipelines and infrastructure to support analytics and business operations in a fast-paced healthcare technology environment. You will work closely with data scientists, analysts, and engineering teams to ensure data is accurate, accessible, and optimized for reporting and operational use. This position provides the opportunity to work with modern cloud technologies, ETL frameworks, and streaming platforms, while contributing to the continuous improvement of data architecture and operational excellence. You will take ownership of data quality, performance, and observability, helping enable impactful decisions across multiple teams.
Accountabilities
- Design, implement, and maintain scalable data pipelines from multiple sources, ensuring high data quality and reliability
- Optimize data models, queries, and warehouse schemas for performance and analytical needs
- Build and manage ETL/ELT workflows using Spark, PySpark, Airflow, or similar tools
- Implement streaming data solutions using Kafka or other message-processing systems
- Collaborate with BI and analytics teams to integrate data into reporting tools like Tableau or Qlik
- Monitor and improve data pipeline performance, scalability, and operational efficiency
- Ensure proper documentation, adherence to data governance, and best practices
- Work with cloud services (AWS: S3, Athena, EMR, Kinesis) to deploy and manage data solutions effectively
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience
- 5+ years of experience in data engineering, operations, or related roles
- Strong SQL skills and experience with relational databases; exposure to non-relational databases is a plus
- Hands-on experience with Spark/ PySpark and data warehouse design (star schemas, etc.)
- Experience with building and maintaining data pipelines from multiple sources
- Knowledge of cloud platforms (AWS preferred) and relevant services (S3, EMR, Kinesis, Athena)
- Familiarity with data pipeline orchestration tools (Airflow, Luigi) and streaming technologies (Kafka)
- Experience with Databricks, dbt, or other modern data platforms
- Strong problem-solving, ownership, and communication skills, with a focus on quality and documentation
- Ability to collaborate with cross-functional teams in a hybrid or remote environment
Benefits
- Competitive compensation package
- Flexible hybrid work setup (Hyderabad office 3 days/week) or remote work options
- Comprehensive health, accidental, and life insurance coverage, including family members
- Paid parental leave, bereavement leave, celebration leave, and paid holidays
- Wellness and professional development allowances, including tuition reimbursement and LinkedIn Learning access
- Company-provided meals and snacks, ergonomic equipment, and wellness facilities
- Opportunities to contribute to impactful healthcare technology solutions and grow within a global team
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
