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Prescience Decision Solutions

Senior Data Engineer

Prescience Decision Solutions Bengaluru, Karnataka, India

Data Infrastructure and Analytics · 51-200 employees

Oct 06
data-engineer Senior (5-10 yrs) Full-time India
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About the role

You will own the end-to-end lifecycle of production data pipelines, including design, deployment, monitoring, and operational support. Additionally, you will focus on maintaining high data quality, validation, and governance within regulated data domains.

What they look for

Data Engineering Python SQL Data Architecture System Design Data Modeling Pipeline Development Airflow Pandas SQLAlchemy MySQL PostgreSQL CI/CD Git Data Governance Data Lineage

Requirements

The role requires 6+ years of experience in data engineering with strong expertise in Python and advanced SQL. Candidates must demonstrate proficiency in data modeling, system design, and workflow orchestration tools like Airflow.

Benefits

Competitive salary Performance-based bonuses Comprehensive insurance plans Collaborative and supportive work environment

Full description

Job Description:

  • 6+ years of experience in Data Engineering.
  • Strong data architecture and system design skills with the ability to make sound trade-offs around data modeling, partitioning, and scalability.
  • Demonstrated end-to-end ownership of production data pipelines, including design, deployment, monitoring, and operational support.
  • Expertise in Python and SQL as primary tools; experience with Hive/Hadoop is a plus.
  • Strong focus on data quality, validation, reconciliation, anomaly detection, and audit ability.
  • Experience working with finance, risk, compliance, or other highly regulated data domains requiring strong data lineage and governance.
  • Proven experience designing and building transaction and fact tables.
  • Advanced SQL skills, including window functions, CTEs, CASE statements, and working across MySQL/PostgreSQL environments.
  • Strong Python expertise, including pandas, SQLAlchemy, type hints, data classes, and object-oriented pipeline development.
  • Experience with workflow orchestration platforms such as Airflow or similar tools.
  • Strong understanding of data modeling concepts including fact/dimension modeling, normalization, and medallion architecture.
  • Experience with YAML-based configurations, CI/CD practices, and Git-based development workflows.

Requirements

Strongly Preferred:

  • Experience with enterprise data platforms, internal data tooling ecosystems, metadata/catalog solutions, secrets management tools, developer productivity platforms, and ETL orchestration frameworks.

Nice-to-Have:

  • Experience with Hive, Hadoop, Spark, or related big data technologies.

Benefits

· Competitive salary and performance-based bonuses.

· Comprehensive insurance plans.

· Collaborative and supportive work environment.

· Chance to learn and grow with a talented team.

· A positive and fun work environment.

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