Data Engineer with DevOps

Job Description Job Title: Senior Data Engineer with DevOpsDuration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TXWork Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:Design and build scalable data pipelines aligned with business needsProcess large dataset (batch + sometimes near Realtime)Ensure data quality, consistency, and governance standards across systemsSupport data integration and transformation efforts for analytics and reporting platformsMaintain data dictionaries, metadata, and documentationParticipate in data architecture reviews and model validation processesSupport analytics reporting and risk platforms.Required Qualifications5+ years of experience in data engineering and big data processingStrong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processingExperience working with structured and semi structured data, including complex transformations and performance tuningProficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systemsStrong knowledge of SQL and data modeling conceptsHands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handlingStrong understanding of batch processing and batch job scheduling frameworksExperience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelinesFundamentals in Linux and NetworkingDocker, OCP containerization / KubernetesKnowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and GradleAutomate operational tasks using Python, Bash/Shell, and PowerShellImplement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.Experience ensuring data quality, reliability, and compliance in regulated environmentsGood communication and documentation skillsGood communication and collaboration skills in cross-functional teamsAgile/Safe methodologiesMust Have SkillsAirflowContainerizationDevOpsElastic Stack & ElasticsearchGitHubHadoop HiveJenkinsJSON Web Token (JWT)KubernetesOpenShiftOraclePythonShell ScriptSQLiteRef: #404-IT Pittsburgh