Big Data Data Analytics Consultant SQL
• Conduct data assessments and contribute to developing recommendations for data improvement initiatives and technical solution design/presentation • Support the design of data governance frameworks and help implement data quality standards and procedures • Assist in creating data architecture designs including data warehouses, data lakes, integration patterns; develop data migration plans and support the execution of data integration projects • Support client engagements by participating in requirement gathering, proposal preparation, and project delivery activities • Implement analytics solutions including dashboards, reports, and predictive models • Implement and configure data platforms and tools across cloud environments (AWS, Azure, GCP) following established best practices • Develop and maintain data pipelines, ETL/ELT processes, and data integration solutions • Support data quality initiatives including implementing monitoring, validation, and data cleansing procedures • Collaborate effectively with team members and business users across different experience levels and technical specializations
• 2–5 years of experience in data-focused roles with hands-on expertise in data management, analytics, data engineering, or data science roles • Minimum 1 year of consulting, client-facing, or project delivery experience in data and analytics • Hands-on experience in cloud data platforms (AWS, Azure, GCP) and their native data services • Proficiency in SQL and experience with modern data warehousing solutions (Snowflake, Databricks, BigQuery, Redshift, Synapse) • Programming skills in Python, R, or Scala for data processing and analytics • Experience with data visualization tools (Tableau, Power BI, Looker) • Knowledge of big data technologies (Hadoop, Spark, Kafka) and distributed computing frameworks
• Benefits will be shared in detail with successful candidates
• Prioritize candidates who can onboard as soon as possible