Title: Data Engineer

Duration: Fulltime

Location: Houston, TX (Hybrid)

Job Description

The data engineer will be responsible for designing, building, and maintaining enterprise data warehouse, ensuring data quality, and supporting data lake and surrounding technology ecosystem, including MDM, ELT , Data Security and Data Catalog. Domain: Financial Services - Banking Key responsibilities and expected output : (Clearly state the what the candidate is expected to deliver) Design, build, and maintain data architectures, pipelines, and ETL processes to ensure efficient and reliable data ingestion, processing, and storage. Develop and maintain data models, schema, and metadata to enable effective data analysis. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data quality. Implement data validation and cleansing processes to ensure data accuracy and consistency as required. Monitor and troubleshoot data pipelines to ensure that they are running smoothly and efficiently. Keep up to date with the latest data engineering trends and technologies and apply them as appropriate Required tech stack and other related details: 10 years relevant experience Strong experience in data modeling, data integration, and data management Experience with distributed computing frameworks such as Hadoop and Spark Experience with cloud data technologies e.g. Google Cloud Platform, Dataproc, Big query. Airflow , Snowflake , Data Factory Strong programming skills in languages such as Python, Java, or Scala Strong experience with SQL and database management systems Good to have tech stack and other related details: Experience on Git, Azure DevOps Any other information considered critical / Useful": (any detail that can be a game changer / will make our candidate most preferred ). EXPERTISE IN DIMENSIONAL MODELING AT LARGE ENTERPSIES. Write complex queries and Stored Procedures Build Data pipelines and framework for a scalable solution to support the dynamic cloud environment.