Transformational Data Engineer
2 days ago
Company Overview
Quantiphi is a pioneering AI-first digital transformation engineering company driven by innovation and excellence. We are passionate about delivering cutting-edge solutions that address complex business challenges at the heart of the industry.
About Us
We have been driving 2.5x growth year-over-year since our inception in 2013. Our headquarters is based in Boston, with over 4000 professionals working across the globe. We have received numerous awards and recognitions from top global analyst firms like Gartner, Frost & Sullivan, IDC, Fast Company, ISG & Everest group as an industry leader in AI-led digital transformation.
Our Mission
We aim to solve our clients' toughest and most complex business problems by combining deep industry expertise, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research. This enables us to achieve quantifiable business impact at unprecedented speed.
Job Description: Senior Data Engineer
Role: Senior Data Engineer - Big Data
Experience Level: 3 to 6 Years
Work location: Trivandrum
What you'll do:
You will be working as a Data Engineer within the Healthcare & Lifesciences domain, designing and delivering data pipelines for structured and unstructured data that are running across multiple geographies. Your goal will be to help healthcare organizations achieve their business goals using data ingestion technologies and BI solutions.
Key Responsibilities:
- Design and implement data solutions (ETL pipelines, Processing and Transformation logic) using Snowflake as a key platform.
- Design Virtual warehouses which are optimized for performance and cost (auto scaling, idle time etc).
- Write SQL, stored procedures to implement business logic, other critical requirements like encryption, data masking etc.
- Implement solutions with features like Snowpipe, tasks, streams, dynamic tables etc.
- Design the solutions by leveraging key concepts around the architecture of Snowflake, its data distribution and partitioning mechanism, data caching etc.
- Identify queries which take more time, look at the logs etc and provide solutions to optimize those queries.
Salary: $120,000 - $180,000 per annum
Required Skills and Qualifications:
- 3+ years' experience of Hands-on in data structures, distributed systems, Hadoop and Spark, SQL and NoSQL Databases.
- Experience of working on Datawarehouse/DataLake projects using Snowflake (must) and either of Redshift/Big Query/Synapse/Databricks/Iceberg.
- Designing and development of ETL pipeline (AWS/Azure/GCP).
- Strong skills in writing SQL queries, stored procedures and functions in any of the SQL supported databases.
- Strong software development skills in at least one of: Python, PySpark or Scala.
- Any of Airflow, Oozie, Apache NiFi, Google DataFlow Message/Event Solutions or other job orchestration services.
- Experience in developing Big Data solutions (migration, storage, processing).
- Experience in building and supporting large-scale systems in a production environment.
- Cloud Platforms – AWS/GCP/Azure Big Data Distributions.
- Any of Apache Hadoop/CDH/HDP/AWS EMR/Google DataProc/Databricks/HD-Insights Distributed processing Frameworks.
Leadership Qualities:
- Ability to lead technology teams and provide them mentorship/support to accelerate performance.
- Experience in leading multiple large projects as well as a deep understanding of Agile developments.
- Effective communication with all the stakeholders involved.
- Communicate clearly about complex subjects and technical plans with technical and non-technical audiences.
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