Lead Data Integration Engineer

Kimberly-Clark

Lead Data Integration Engineer at Kimberly-Clark overseeing ETL/ELT pipelines and data integration projects. Collaborating with teams to achieve technical solutions in data warehousing and analytics.

Posted 6/26/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $187,600 per yearWebsite

Tech Stack

Tools & technologies

AzureCassandraCloudElasticSearchETLGoogle Cloud PlatformGreenplumHDFSMapReduceMongoDBNoSQLOraclePythonRedisSparkSQL

About the role

Key responsibilities & impact

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 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

Requirements

What you’ll need

Bachelor’s degree in computer science, applied computer science, IT or a related field
10 years of experience in the job offered or similar roles
10 years of experience designing, developing, and building ETL/ELT pipelines, procedures, and SQLs on MPP platforms (HANA, Snowflake, Greenplum, or Teradata)
5 years of experience designing and building metadata driven data ingestion frameworks
5 years of experience with SAP BO/Data Services, Azure Data Factory, SnowSQL, and Snowpipe
5 years of experience with mini-batch, real-time and event-driven data processing jobs
5 years of experience designing and developing object stores (including Azure ADLS, HDFS, and GCP Cloud Storage)
5 years of experience with Row and Columnar databases (including Azure SQL DW, SQL Server, Snowflake, Teradata, PostgresSQL, and Oracle)
5 years of experience with NoSQL databases (including CosmosDB, MongoDB, and Cassandra)
5 years of experience with ElasticSearch, Redis, and Data processing platforms (Spark, Databricks, and SnowSQL) and analytics development (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)

Benefits

Comp & perks

Comprehensive benefits suite
401(k)
Profit Sharing plan
Target bonus eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data warehousingdata modellingETLELTSQLdata ingestion frameworksdata quality modelsmetadata driven frameworksdata processing patternsdata integration

Soft Skills

communicationcollaborationproblem-solvingproactive identification of gapsdesign review

Certifications

Bachelor's degree in computer scienceBachelor's degree in applied computer scienceBachelor's degree in IT