About The Opportunity Operating at the intersection of Information Technology and Digital Transformation services, we architect and deliver cloud-native data platforms that power analytics, AI, and business automation for clients in healthcare, retail, and finance. Our mission is to turn raw, high-velocity data into trusted, actionable insights through secure, scalable, and cost-efficient engineering practices. Role & Responsibilities • Design, build, and maintain batch and streaming pipelines that ingest, transform, and curate terabyte-scale datasets for reporting and machine learning use cases. • Create robust ETL/ELT workflows using Python, SQL, and Spark, orchestrated via Apache Airflow or similar schedulers. • Model relational and dimensional schemas, optimizing storage, query performance, and documentation within modern data warehouses (Snowflake, Redshift, BigQuery). • Implement data quality, lineage, and observability frameworks to ensure accuracy, consistency, and regulatory compliance. • Collaborate cross-functionally with product managers, analysts, and data scientists to translate business requirements into scalable technical solutions. • Champion DevOps best practices—CI/CD, infrastructure as code, automated testing—to accelerate delivery and reduce operational risk. Skills & Qualifications Must-Have • 3+ years of hands-on data engineering experience in cloud environments (AWS, Azure, or GCP). • Advanced proficiency in Python and SQL for data manipulation and pipeline automation. • Expertise with Spark or PySpark for distributed processing of large datasets. • Proven track record designing ETL/ELT workflows and scheduling with Airflow, Prefect, or similar tools. • Deep understanding of data warehousing principles, schema design, and performance tuning. • Git-centric workflow with Docker or Kubernetes exposure. Preferred • Experience implementing real-time streaming solutions with Kafka or Kinesis. • Knowledge of dbt, Terraform, and CI/CD pipelines in GitHub Actions or Jenkins. • Background in data governance, security, and compliance frameworks (GDPR, HIPAA). Benefits & Culture Highlights • Hybrid work model offering flexible on-site collaboration and remote focus days. • Access to a cutting-edge tech stack and sponsored certifications to accelerate career growth. • Inclusive, results-driven culture that values innovation, autonomy, and continuous learning. Skills: terraform,azure,kinesis,airflow,python,data modeling,sql,dbt,pyspark,etl,docker,github actions,apache airflow,spark,jenkins,git,data warehousing,kafka,elt,ci/cd,kubernetes