Senior Data Engineer - Azure Data Services

<p><b>Client : </b></p><p><br/></p><p> A data science consulting firm that specializes in delivering impactful solutions for businesses.

Their approach focuses on insight and prediction, diagnostic analysis, and data engineering to help organizations unlock value from their data.<br/><br/><b>Role : </b> Senior Data Engineer<br/><br/><b>Location : </b> Noida (Work from Office only)<br/><br/><b>Experience : </b> 7y - 10y<br/><br/><b>Joining : </b> Immediate to 30 days (Notice &gt; 30 days may not be processed)<br/><br/><b>Interview process : </b> 2/3 Online VC rounds followed by in-person final round.<br/><br/><b>CTC Offered : </b> To discuss depending on experience and depth of know-how.<br/><br/><b>Job Description : </b><br/><br/>Looking for a seasoned Senior Data Engineer to lead the design, development, and optimization of data pipelines and infrastructure across enterprise-scale platforms.<br/><br/><b>Responsibilities : </b><br/><br/>- Architect, build, and maintain robust and scalable data pipelines for batch and real-time workflows<br/><br/>- Optimize data storage and retrieval systems using technologies such as Spark, Hadoop, and cloud-native tools<br/><br/>- Collaborate closely with Data Scientists, Analysts, and Product teams to deliver high-quality data solutions<br/><br/>- Define best practices and standards in data governance, modelling, quality, and security<br/><br/>- Monitor, troubleshoot, and enhance data infrastructure for reliability and performance<br/><br/>- Lead initiatives for cloud migration or modernization (Azure, AWS, GCP)<br/><br/>- Mentor junior team members and foster a data-driven engineering culture<br/><br/><b>Requirements : </b><br/><br/>- 7y-10y hands-on experience in data engineering<br/><br/>- Expert in SQL and Python (or Scala/Java as needed)<br/><br/>- Proficient with distributed systems : Apache Spark, Hadoop, Kafka<br/><br/>- Experience with cloud platforms : Azure Data Factory, AWS Glue, or GCP Dataflow<br/><br/>- Familiarity with containerization : Docker, Kubernetes (a plus)<br/><br/>- Version control : Git, CI/CD tools<br/><br/>- Data warehousing solutions : Snowflake, BigQuery, or Redshift<br/><br/>- Team Lead experience is a plus<br/><br/><b>Educational Qualifications : </b>BE/BTech from a Tier1/Tier2 institute</p> (ref:hirist.tech)