Data Engineer - Lakehouse (PySpark / Databricks / Airflow / AWS)
SRI Tech
Job ID: SRJ_7569Posted: 2025-09-12Location: Dallas, TXEmployment Type: C2CIndustry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsRole: Data Engineer – Lakehouse (PySpark / Databricks / Airflow / AWS)Location: Dallas, TX (Day 1 Onsite)Job Description:Data Engineer – Lakehouse (PySpark / Databricks / Airflow / AWS)Role OverviewResponsible for designing, developing, and maintaining data pipelines into a Lakehouse architecture to support analytics, reporting, and regulatory needs. Works extensively with PySpark on Databricks, orchestrates workflows with Apache Airflow, and leverages AWS cloud services for storage, compute, and security.Key ResponsibilitiesDesign, Build and optimize ETL/ELT pipelines using PySpark on Databricks.Manage Apache Airflow DAGs for scheduling and workflow orchestration.Ingest and transform data into Delta Lake (bronze/silver/gold layers).Leverage AWS services (S3, EC2, Lambda, IAM) for data integration.Implement data modeling, schema enforcement, and governance.Monitor and improve pipeline reliability, performance, and cost efficiency.Required SkillsProficiency in PySpark and Databricks (Delta Lake, clusters, jobs).Hands-on with Apache Airflow (DAG design, monitoring).Strong in AWS services: S3, EC2, Lambda, IAM.Strong SQL and Python for transformations and orchestration.Knowledge of Lakehouse architecture (Delta Lake) and data modeling.Experience in ETL/ELT and data warehousing best practices.SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
Vacancy posted a month ago
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