Key Facts

Remote From:

Texas (USA)

Category: Data Engineer

Full time

Senior (5-10 years)

188 - 188K yearly

English

Hard Skills

SQL (Programming Language) Data Modeling Data Integration Python (Programming Language) Azure Data Factory SAP FI Data Distribution Services Azure Active Directory Google Cloud Platform (GCP) SQL Azure +13 more

Roles & Responsibilities

Bachelor's or foreign equivalent degree in computer science, applied computer science, IT or a related field
10 years of experience in designing, developing, and building ETL/ELT pipelines, procedures, and SQLs
5 years of experience designing and building metadata driven data ingestion frameworks
Experience with various databases and data processing platforms

Requirements:

Translate requirements into technical design for data modelling and data integration
Design and develop ETL/ELT pipelines with reusable patterns and frameworks
Review functional domain and business needs and identify gaps in the requirements
Work with platform teams to design and build automated processes for pipeline build, testing, and code migrations

Kimberly-Clark

About Kimberly-Clark

As a Kimberly-Clark employee, you have an opportunity to impact billions of lives through the products we make, the workplaces we create and the communities we serve. The proof is in our purpose – Here, we are creating Better Care for a Better World and it starts with YOU! Learn more about us and see what inspires you, careersatkc.com.  Through collaborative teams that push boundaries and endless opportunities to work with some of the world’s most recognized brands, at Kimberly-Clark you and your purpose are in the driver seat of your career.  Huggies®. Kleenex®. Andrex®. Scott®. Kotex®. Poise®. Depend®. The proof is in our products – For 150 years, our brands have been brought to market by a team of purpose-led innovators dedicated to creating Better Care for a Better World. And it takes the right people—in the right jobs and the right place—to make that happen. Join our 45,000+ employees who are changing the world for the better and generously giving back to communities and causes around the globe.  Better Care for a Better World starts by taking care of you and giving you what you need to succeed. We’re dedicated to breaking down barriers to speed decision making and creating a workplace with relentless focus on our consumers and growing our people, like you. The proof is in our people – we've been rated as one of Forbes 2022 World's Best Employers, and it's because of the caring people and the amazing culture that brings out the best in everyone. Join our employees in our amazing culture that brings out the best in everyone.   To make Kimberly-Clark's social media channels an engaging, respectful environment, here are our Community Guidelines: https://www.kimberly-clark.com/en-us/company/community-guidelines

Company type: XLarge

Founded: 2018

Company size: 10001

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Job description

Lead Data Integration Engineer

Job Description

Kimberly-Clark USA, LLC

Lead Data Integration Engineer

Job Description:

Lead Data Integration Engineer positions offered by Kimberly-Clark USA, LLC (Irving, Texas). Work with Technical Architects, Product Owners and Business teams to translate requirements into technical design for data modelling and data integration. Utilize background in data warehousing, data modelling and ETL/ELT data processing patterns. Design and develop ETL/ELT pipelines with reusable patterns and frameworks. Design and build efficient SQLs to process and curate the data sets in HANA, Azure and Snowflake. Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc. Design and build Data Quality models and ABCR frameworks to ingest, validate, curate and prepare the data for consumption. Review functional domain and business needs and identify the gaps in the requirements proactively prior to implementing solutions. Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.

Minimum Requirements:

Requires a bachelor’s or foreign equivalent degree in computer science, applied computer science, IT or a related field and 10 years of experience in the job offered or 10 years of experience designing, developing, and building ETL/ELT pipelines, procedures, and SQLs on MPP platforms including HANA, Snowflake, Greenplum, or Teradata. Also requires 5 years of experience: designing and building metadata driven data ingestion frameworks, building SAP BO/Data Services, Azure Data Factory, SnowSQL, and Snowpipe, and building mini-batch, real-time and event-driven data processing jobs; designing and developing object stores (including Azure ADLS, HDFS, and GCP Cloud Storage), Row and Columnar databases (including Azure SQL DW, SQL Server, Snowflake, Teradata, PostgresSQL, and Oracle), NoSQL databases (including CosmosDB, MongoDB, and Cassandra), ElasticSearch, Redis, and Data processing platforms Spark, Databricks, and SnowSQL; and leveraging Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, and SPSS for Data Analytics development and solution architecture. Employee reports to office in Irving, TX, but may telecommute from anywhere in the U.S. Experience may be, but need not be, acquired concurrently.

Salary Range: $187,600 - $187,600 USD

At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.

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Salary Range: – USD