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SS&C Technologies

Data Engineer

SS&C Technologies

. Manage production data pipelines in enterprise environments .

Posted 9/23/2026full-timeHyderabad • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing production data pipelines and building ETL/ELT processes, with a strong focus on data governance and secure handling of sensitive data. Proficient in using data orchestration tools and advanced data processing technologies.

Highest-signal resume keywords
Data Pipeline ManagementETL/ELT Pipeline DevelopmentApache Airflow OrchestrationPySpark ProficiencyData Governance Expertise

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline ManagementETL/ELT DevelopmentAdvanced SQLPySparkDatabricksSnowflakeKafka
Tools & Technologies
Apache AirflowPrefectDagster
Industry Keywords
Enterprise Data GovernanceData MaskingSensitive Data Handling

Tech Stack

Tools & technologies
AirflowApacheETLKafkaPySparkSQL

About the role

Key responsibilities & impact
  • Manage production data pipelines in enterprise environments
  • Build ETL/ELT pipelines handling structured relational data and unstructured formats
  • Orchestrate data workflows using Apache Airflow, Prefect, or Dagster
  • Apply enterprise data governance, data masking, and secure handling of sensitive operational data

Requirements

What you’ll need
  • 5–8 years of experience as a Data Engineer managing production data pipelines in enterprise environments
  • Deep technical command of PySpark, Databricks, Snowflake, Kafka, and advanced SQL
  • Extensive experience building ETL/ELT pipelines handling both structured relational data and unstructured formats
  • Practical experience with data orchestration platforms such as Apache Airflow, Prefect, or Dagster
  • Solid understanding of enterprise data governance, data masking, and secure handling of sensitive operational data