4 of 4 Remote Spark Streaming Jobs

experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures … data governance including GDPR. Bonus Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring and enabling data More ❯

multi-tenant SaaS data platforms with strategies for data partitioning, tenant isolation, and cost management Exposure to real-time data processing technologies such as Kafka, Kinesis, Flink, or Spark Streaming, alongside batch processing capabilities Strong knowledge of SaaS compliance practices and security frameworks Core Competencies Excellent problem-solving abilities with the capacity to translate requirements into More ❯

metadata, dependency and workload management Expert SQL knowledge and experience working with a variety of databases Experience using the following software/tools: Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch AWS: Athena, RDB, AWS credentials from Cloud Practitioner to Solutions Architect Data Lakes: e.g. Delta Lake, Apache Hudi, Apache Iceberg Distributed SQL interfaces: e.g. Apache Hive, Presto …/Trino, Spark Data pipeline and workflow management tools: e.g Luigi, Airflow Dashboard frontends: e.g. Grafana, Kibana Stream-processing systems: e.g. Storm, Spark-Streaming, etc. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for More ❯

for experienced professionals who prefer flexible hours. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows. • Build and optimize data lakes, warehouses, and streaming pipelines. • Work closely with data scientists, analysts, and product teams to ensure reliable data access. • Maintain data quality, lineage, and governance standards. • Monitor and improve pipeline performance and scalability. … Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization. • Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication skills. Please reach out to Sudheer Kumar.V Email: Phone: +1 More ❯