Lead Data Engineer

We are excited to announce an opening for Lead Data Engineer !

Skills Required:

SQL, Python, Snowflake, ADF, ETL, Data Pipeline

Experience Range:

8 - 12 years

Duties and Responsibilities:

• Work closely with Product owners/managers to understand the business needs

• Collaborate with architects, data modelers and other team members to design technical details of data engineering jobs/processes to fulfillment business needs

• Lead sessions with data engineers and provide necessary guidance to solve technical challenges

• Develop new and/or enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components

• Actively contribute towards setting up and refining data engineering best practices

• Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable

• Support and troubleshoot the data environments, tune performance, etc.

• Document technical artifacts for developed solutions

• Good interpersonal skills; comfort and competence in dealing with different teams

within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.

• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills

• Familiar with Agile practices and methodologies

•Experience with Snowflake

Education Requirements Min / Preferred Education Level Description:

• Minimum 4 Year / Bachelor’s Degree A bachelor's degree in computer science, data science, information science or related field, or equivalent work Years Of Experience

Experience Comments:

• 8-10 years of experience in a Data Engineering role

Knowledge, Skills, and Abilities:

• Advanced SQL queries, scripts, stored procedures, materialized views, and views (5+yrs experience)

• Focus on ELT to load data into database and perform transformations in database (5+yrs experience)

• Ability to use analytical SQL functions

• Experience building dimensional Data marts, Data lakes and warehouses. (5+ yrs

experience)

• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data

modeling, analysis, programming – (3+ years' experience with one or more cloud

platforms)

• Experience with DevOps models utilizing a CI/CD tool (2+ yrs experience)

• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)

• Talend, Apache Airflow or TWS, Azure Data Factory, and BI tools like Tableau preferred (3+ years experience with one or more)

• Analyze data models