Jobgether is looking for a Data Operations Engineer 2 to design, build, and maintain robust data infrastructure for a fast-paced healthcare technology environment. You will be responsible for ensuring data is accurate, accessible, and optimized for analytics and business operations from a remote or hybrid base in India.

What You'll Do

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.

What We're Looking For

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.
Hands-on experience with Spark/PySpark and data warehouse design.
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).
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.

Nice to Have

Exposure to non-relational databases.
Experience with Databricks, dbt, or other modern data platforms.

Technical Stack

Spark, PySpark, Airflow, Kafka, SQL, Luigi
AWS S3, AWS Athena, AWS EMR, AWS Kinesis
Tableau, Qlik, Databricks, dbt

Team & Environment

Work closely with data scientists, analysts, and engineering teams.

Benefits & Compensation

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.