About the Role We are looking for experienced Senior BigData Engineers with strong expertise in Big Data technologies, cloud platforms, and modern data engineering practices to build scalable and high-performance data solutions. Key Skills: Big Data Engineering SQL, Python / Scala / Java AWS & Snowflake DBT (Data Build Tool) Apache Spark, Databricks, Flink, Beam Hadoop Ecosystem (EMR, Dataproc, HDInsight) Kafka, Kinesis, Event Hub, Pub/Sub Airflow, AWS Glue, Azure Data Factory Data Warehousing: Snowflake, Redshift, Athena, Synapse Docker, Lambda, Serverless Technologies CI/CD, Data Governance & Data Quality Responsibilities: Build scalable batch & streaming data pipelines Design distributed data processing architectures Develop reusable ETL/ELT frameworks Optimize data performance and quality Work on cloud-native and containerized environments Contribute to architecture and technical decisions Mentor junior engineers and support delivery excellence Preferred: AWS / Snowflake Certifications Strong communication and collaboration skills Bachelor's degree in Computer Science or related field