ETL LEAD Developer

2 weeks ago

Tampa, United States eTeam Full time
Mandatory Skills - Snowflake, ETL, DataStage

This role involves design and development of new functionality and capabilities into the enterprise data platform as well as ongoing support / maintenance of existing data pipelines. Successful candidate will work closely with cross functional teams / stakeholders, and be responsible for ongoing and new developments on DataStage and Snowflake Cloud Data platform as well as the day-to-day operational support aspects. The candidate should also have strong communication skills and be able to collaborate with technical and non-technical partners and senior management stakeholders.
  • 10+ year of IT Industry experience in Data Engineering role
  • Proficiency in Snowflake Cloud Data Platform and familiarity with AWS /Azure cloud platform
  • Strong leadership quality and able to handle a team of 5 - 10 resources
  • Ability to provide technical guidance to data engineering team for data pipeline design and enhancements
  • Strong experience in ETL with Data migration, data consolidation
  • Hands-on experience in ETL data loading around event and messaging patterns, streaming data, Kafka , API
  • Understanding of fundamentals of DevOps CI/CD, Git and Git workflows and SAAS-based Git tools like GitHub, GitLab, Bitbucket
  • Experience of working in agile application development environment
  • Ability to proactively prioritize tasks in consultation with business stakeholders, Product Owners, Product Managers
  • Design, Build, Deploy and Support DataStage ETL jobs to extract data from disparate source systems, transform, and load data into EDW for data mart consumption, self-service analytics, and data visualization tools.
  • Ensure data quality, efficient processing, and timely delivery of accurate and trusted data.
  • The ability to design, implement and optimize large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is essential.
  • Establish ongoing end-to-end monitoring for the data pipelines.
  • Strong understanding of full CI/CD lifecycle.
  • Convert business requirements to technical solution
  • Ensure adherence to architectural guidelines, strategic business needs
  • Technical feasibility analysis, recommendations and effort estimation
  • Provide operational instructions for dev, QA, and production code deployments while adhering to internal Change Management processes.
  • Performance optimization
  • QA support
  • Automation
Must Haves:
  • Total of 5+ years in data engineering role with 2+ years of recent experience with Snowflake.
  • Extensive experience in design, development and support of complex ETL solutions
  • Ability to design and implement highly performant data ingestion pipelines from multiple sources using DataStage, SnowPipe, SNOWSQL.
  • In-depth knowledge of SnowPipe, SNOWSQL, stored procedures
  • Experience in DataStage and Snowflake performance optimization
  • Hands-on development experience with Snowflake data platform features including Snowpipes, SnowSQL,tasks, stored procedures, streams, resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, cloning, time travel, data sharing and respective use cases.
  • Advanced proficiency in writing complex SQL statements and manipulating large structured and semi-structured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Demonstrable experience designing and implementing modern data warehouse/data lake solutions with an understanding of best practices.
Good to Have:
  • Valid professional certification
  • Experience in Python and BigData Cloud platform
  • Expertise in Unix & Shell Scripting
  • Excellent verbal and written communication and interpersonal skills
  • Confidence and agility in challenging times
  • Ability to work collaboratively with cross-functional teams in a fast-paced, team environment.

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