Business Technology Solutions Associate

What youll do:

• Work with business stakeholders to understand their business needs.
• Create data pipelines that extract, transform, and load (ETL) from various sources into a usable format in a Data warehouse.
• Clean, filter, and validate data to ensure it meets quality and format standards.
• Develop data model objects (tables, views) to transform the data into unified format for downstream consumption.
• Expert in monitoring, controlling, configuring, and maintaining processes in cloud data platform.
• Optimize data pipelines and data storage for performance and efficiency.
• Participate in code reviews and provide meaningful feedback to other team members.
• Provide technical support and troubleshoot issue(s).

What youll bring

• Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• Experience working in the AWS cloud platform.
• Data engineer with expertise in developing big data and data warehouse platforms.
• Experience working with structured and semi-structured data.
• Expertise in developing big data solutions, ETL/ELT pipelines for data ingestion, data transformation, and optimization techniques.
• Experience working directly with technical and business teams.
• Able to create technical documentation.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• AWS (Big Data services) - S3, Glue, Athena, EMR
• Programming - Python, Spark, SQL, Mulesoft,Talend, Dbt
• Data warehouse - ETL, Redshift / Snowflake

Additional Skills

• Experience in data modeling.
• Certified in AWS platform for Data Engineer skills.
• Experience with ITSM processes/tools such as ServiceNow, Jira
• Understanding of Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow