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Job Description & How to Apply Below
Title:
Data Engineer
About The Opportunity
A technology-enabled HR services and workforce-solutions firm operating in the talent acquisition and staffing sector. We build and operate data-driven systems that power recruitment analytics, candidate matching, and operational reporting for clients across India. This on-site role is based in India and focuses on production-grade data engineering to support analytics and ML use cases.
Role & Responsibilities
Design, build, and maintain scalable ETL and data ingestion pipelines for batch and streaming sources to serve analytics and machine-learning needs.
Develop, optimize, and deploy Spark jobs and SQL-based transformations to ensure data accuracy, performance, and cost efficiency on cloud platforms.
Implement orchestration and scheduling (Airflow) with robust alerting, retry strategies, and operational runbooks to minimise downtime.
Define and implement data models, schemas, partitioning strategies, and indexing to support BI, reporting, and feature stores.
Collaborate closely with data scientists, analysts, and product teams to product ionize datasets, features, and ML pipelines.
Establish data quality checks, lineage, observability (logging/metrics), and incident response processes to guarantee reliable data delivery.
Skills & Qualifications
Must-Have
Python
SQL
Apache Spark
Apache Airflow
AWS
ETL
Preferred
AWS Redshift
Docker
Data Modeling
Additional Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline (or equivalent practical experience).
Proven track record of delivering production-grade data pipelines and collaborating with analytics and ML teams in a fast-paced environment.
Comfort working on-site in India and participating in cross-functional incident response and deployment activities.
Benefits & Culture Highlights
Competitive compensation with on-site allowances and performance incentives.
Learning & certification support, technical training, and opportunities to work on analytics and ML productionization.
Collaborative, ownership-driven culture with clear impact on business outcomes and client delivery.
.
Skills:
apache spark,sql,python,etl,gcp,aws,azure
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