Job Title

SME – Big Data & AnalyticsExperience: 8+ YearsEngagement Type: Contract- Part timeDuration: 6 MonthsWork Hours: 15–20 hours per weekLocation: RemoteStart Date: ImmediateRole OverviewWe are seeking a Subject Matter Expert (SME) – Big Data & Analytics to architect and deliver end-to-end content for a comprehensive Big Data & Analytics Certificate Program. This role involves curriculum design, hands-on lab development, assessments, recordings, and close collaboration with client teams during an intensive discovery phase.Key ResponsibilitiesDesign a structured certificate program comprising 4–5 courses with up to 25 lessons per courseCollaborate with client stakeholders to define Job Task Analysis (JTA) and content strategyDevelop clear learning objectives at program, course, and module levelsReview and refine course outlines to align with certification and career outcomesValidate and enhance video scripts, code snippets, demos, and technical contentRecord talking-head videos and screencasts, incorporating internal and client feedbackCreate 2–3 readings per lesson, including conceptual and step-by-step technical guidesDesign hands-on labs, quizzes, graded assessments, and exercisesEnsure technical accuracy and industry relevance across all contentParticipate in client workshops and discovery discussionsCommit 20–25 hours/week during the Discovery Phase (3–4 weeks)Required Qualifications8+ years of experience in Big Data, Data Engineering, Data Architecture, or AnalyticsStrong expertise in the Hadoop ecosystem (HDFS, Hive, Pig, HBase)Advanced experience with Apache SparkDeep hands-on experience with Azure data services, including:Azure Synapse AnalyticsMicrosoft FabricAzure Data Lake (ADLS)Azure Data Factory (ADF)DatabricksPurviewStream AnalyticsExperience with ETL/ELT tools such as Apache NiFi, Airflow, TalendFamiliarity with cloud data platforms like Amazon Redshift and Google BigQueryStrong programming skills in SQL, Python, Scala, or JavaKnowledge of Kafka, Flink, and real-time streaming architecturesSolid understanding of data warehousing and data modelingExperience with data visualization tools: Power BI, Tableau, LookerExcellent communication, presentation, and problem-solving skillsSkills & TechnologiesHadoop, HDFS, Hive, Pig, HBase, Apache Spark, Azure Synapse, Microsoft Fabric, Azure Data Lake, Databricks, Azure Data Factory, Purview, Stream Analytics, Apache NiFi, Airflow, Talend, Redshift, BigQuery, SQL, Python, Scala, Java, Kafka, Flink, Data Modeling, Data Warehousing, Power BI, Tableau, Looker