Lead Data Integration Engineer

🔥 3 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $187.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Kimberly-Clark

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

B2C • Consumer Goods • Healthcare

Kimberly-Clark is a global leader in providing essential health and hygiene products, with a history spanning over 150 years. Employing approximately 44,000 individuals, the company creates trusted brands such as Huggies®, Kleenex®, and Kotex®, which meet the everyday needs of people in more than 175 countries. Committed to sustainability and innovation, Kimberly-Clark cultivates a culture of care and community engagement, striving to improve the health and well-being of individuals and the planet.

📋 Description

• 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

• 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

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