Senior Data Engineer

Cornerstone OnDemand

4.6

Hyderabad, India

Ranked as one of the Best Tech Companies for Women in 2023

4.6/5 in overall job satisfaction

4.7/5 in supportive management

90% say women are treated fairly and equally to men

97% would recommend this company to other women

100% say the CEO supports gender diversity

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We offer Wellbeing Days (paid days off during the months of July, August, and September) so our people can focus on their wellness.

The Cornerstone Family First Initiative is a one-time initiative covering reimbursement for some out-of-pocket fertility expenses.

Through Maven, we provide 100% free coaching and personalized support for those navigating mid-life and menopause.

#req11041

as data ingestion, aggregation, and ETL processing.

Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Monitor data systems performance and implement optimization strategies.
Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.

You have what it takes if you have...

Advanced SQL skills and experience with relational databases and database design.
Experience working with cloud Data Warehouse solutions - Databricks, Apache Spark
Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP).
Experience building and deploying machine learning models in production.
Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
Strong proficiency in scripting languages like Bash.
Strong proficiency in data pipeline and workflow management tools (e.g., Airflow).
Strong project management and organizational skills.
Excellent problem-solving, communication, and organizational skills.
Proven ability to work independently and with a team.

**Extra dose of awesome if you have...
**

Good understanding of NoSQL databases like CrateDB, Redis, Cassandra, MongoDB, or Neo4j.
Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce).

#LI-Onsite