Data Solutions Specialist

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a talented professional to fill the role of Data Solutions Specialist. This position involves working with cutting-edge technologies to design, develop, and implement data-driven solutions.


Key Responsibilities
  • Design and develop data processing pipelines using Azure Data Factory, T-SQL, PySpark, and Spark SQL.
  • Collaborate with cross-functional teams to identify business requirements and develop data models that meet those needs.
  • Develop and maintain ETL processes using Azure Data Factory and SSIS.
  • Work closely with data engineers to ensure data quality, integrity, and performance.

Required Skills and Qualifications
  • Strong knowledge of Azure services, including Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.
  • Familiarity with programming languages such as T-SQL, PySpark, and Spark SQL.
  • Experience with data modeling, including ERD and dimensional modeling.
  • Proficiency in ETL tools, including Azure Data Factory and SSIS.
  • Fair knowledge of big data technologies, including Hadoop and Spark.
  • Ability to perform performance tuning and troubleshooting.
  • Version control experience with Git and Azure DevOps.

Benefits

Ecolab is committed to creating an inclusive and equitable work environment where all associates feel valued and respected. We believe that diversity drives innovation and excellence, and we strive to foster a culture that celebrates individual differences.


Equal Employment Opportunity

Ecolab is an equal employment opportunity employer. We will recruit, hire, promote, transfer, and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab does not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.

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