Sr.Data Engineer

Data Engineer Position Summary The Data Engineer is responsible for building and maintaining scalable data pipelines, data warehousing solutions, and data platforms that support analytics, machine learning, and business intelligence.

This role focuses on data integration, ETL/ELT workflows, and ensuring data quality and availability.

Key Responsibilities Develop, maintain, and optimize data pipelines (batch and streamingBuild and manage data lakes, data warehouses, and analytics platforms.Design ETL/ELT workflows and automate data ingestion from multiple sources.Work with big data tools and distributed processing frameworks.Ensure data quality, validation, governance, and lineage.Collaborate with data scientists, analysts, and product teams.Optimize data storage, query performance, and processing efficiency.Develop APIs, dashboards, or interfaces for data access.Manage cloud-based data infrastructure (AWS, Azure, GCPDocument architecture, workflows, and data models.

Required Skills & Experience Strong experience with SQL, relational databases, and NoSQL systems.Proficiency in Python, Scala, or Java for data engineering tasks.Experience with big data tools (Spark, Hadoop, Kafka, FlinkKnowledge of ETL/ELT tools (Airflow, dbt, Glue, InformaticaFamiliarity with data warehousing (Snowflake, BigQuery, RedshiftUnderstanding of data modeling, normalization, and data governance.Experience with Git, CI/CD, and cloud platforms (AWS/GCP/Azure Preferred Qualifications Experience with streaming technologies (Kafka, Kinesis, Pub/SubKnowledge of machine learning pipelines (MLflow, Feature StoreBackground in analytics, BI tools, or dashboarding.Certification in AWS, Azure, or GCP data engineering.