Senior Data Engineer

Role overview

Senior Data Engineer at Cornerstone OnDemand

We are seeking a talented Senior Data Engineer in India.

Responsibilities

• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• 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.

Employment details

• Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/Map Reduce). #LI-Onsite
• Location: Hyderabad [India]

Additional role details

• The right candidate has strong communication skills, passion for solving business problems with data and has domain knowledge in Finance, Human Resources, and Customer Success.
• You have empathy, curiosity and desire to improve and constantly learn.
• Should be hands-on with dbt, Snowflake, Airflow, Fivetran, and has a proven track record of driving the best practices and processes, building data models and ETL loads.
• In this role you will… Design, build and maintain batch or real-time data pipelines in production.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
• 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 No SQL databases like Crate DB, Redis, Cassandra, Mongo DB, or Neo4j.
• The right candidate has strong communication skills, passion for solving business proble...