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Data - Senior Engineer @ Iris Software

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 Data - Senior Engineer

Job Description

Job Duties Responsibilities
  • Design, develop, and optimize complex data pipelines and transformation processes using Snowflake, dbt, and AWS services.
  • Databricks is Mandatory
  • Implement and manage data integration workflows using Fivetran to ensure timely and accurate data ingestion from various sources.
  • Develop and maintain scalable data models and schemas in Snowflake, ensuring they meet performance and business requirements.
  • Monitor and fine-tune the performance of data pipelines, queries, and data models to ensure optimal efficiency and cost-effectiveness.
  • Utilize Snowflakes features, such as Time Travel, Zero-Copy Cloning, and Data Sharing, to enhance data management and performance.
  • Leverage AWS services, such as AWS Lambda, S3, and Glue, to build and manage serverless data processing workflows and data storage solutions.
  • Implement data security measures and ensure compliance with data privacy regulations and organizational policies.
  • Troubleshoot and resolve complex data issues, including data sync errors, performance bottlenecks, and integration challenges.
  • Provide support for data-related incidents and ensure effective resolution of production issues.
  • Collaborate with data analysts, and other stakeholders to understand data needs and deliver effective solutions.
  • Document data processes, models, and workflows, ensuring clear communication and knowledge sharing across teams.
  • Independently assess situations, apply sound judgment and discretion, and make decisions on matters of significant impact without direct supervision
Basic Qualifications
  • Bachelors Degree in Computer Science, Data Science, Information Technology, Engineering, or a related field. Snowflake certification a plus.
  • 5-7 years of experience in data engineering, with a strong focus on data transformation, integration, and cloud-based data solutions
  • Experience in writing complex SQL queries
  • 5 years of experience on Snowflake platform.
  • Experience in data modeling and writing data transformation with dbt platform, Tableau data prep, etc.
  • Experience in building connector with Fivetran platform.
  • Experience in writing test automation scripts.
  • Experience using/understanding Snowflake Warehouses, reader accounts, SSO Setup, and data masking policies.
  • Implemented Change Data Capture (CDC) and Change Data Tracking mechanisms in data pipelines.
  • Experience designing and optimizing data ingestion pipelines to handle large-volume datasets.
  • Experience writing complex data transformation logic using Advanced SQL query skills such as complex joins, sub-queries, grouping, aggregation, and stored procedures.
  • Experience with programming languages, especially Python and Java.
  • Designed and/or managed data warehousing concepts, methodologies, and best practices.
  • Excellent oral and written communication skills including the ability to speak in front of large groups.
Preferred Qualifications
  • Data Architecture Data modeling experience in Clinical trials domain / Life Sciences.
  • Knowledge of data management tools and process; Data governance tools is a plus.
  • Working experience with version control platforms, e.g. Github, and agile methodologies and supporting tools JIRA.
  • Ability to handle stress and interact with others in a professional manner.
  • Comfort working in a geographically distributed team-based environment.
Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
Cloud - Cloud - Snowflake
Cloud - AWS - AWS S3, S3 glacier, AWS EBS
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
Database - Oracle - PL/SQL Packages
Tech - Agile Methodology
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
Development Tools and Management - Development Tools and Management - JIRA
Data Science and Machine Learning - Data Science and Machine Learning - Tableau
Database - PostgreSQL - PostgreSQL
Database - Sql Server - SQL Packages
Data Science and Machine Learning - Data Science and Machine Learning - Python
Programming Language - Java - Core Java (java 8+)
Beh - Communication and collaboration

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Business Analyst
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   compliance data capture data warehousing bitbucket sql tensorflow lambda java postgresql data science redshift devops architecture jira s3 snowflake python github cdc databricks machine learning sql server gitlab agile aws

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Iris Software

Iris Software Inc.