Junior Big Data Analytics Engineer

systems including MongoDB, PostgreSQL, and MySQL.Create comprehensive interactive data visualization reports and dashboards in Tableau, Power BI, and Google Data Studio.Optimize big data query performance and troubleshoot pipeline bottlenecks to ensure high data availability and integrity.Required Qualification and SkillsBachelors or Masters degree in Data Science, Information Technology, Computer Engineering, or related fields with 1-2 years of experience.Expertise in big data technologies including Hadoop, Spark, and Apache Kafka for distributed data processing.Proficiency in ETL tools such as Informatica, Talend, and Apache NiFi for data integration tasks.Strong command over database management systems like SQL, MongoDB, PostgreSQL, and MySQL.Extensive experience with data visualization tools including Tableau, Power BI, and Google Data Studio.Familiarity with statistical analysis software such as SAS, SPSS, and Minitab for quantitative evaluation.Benefits IncludedCompetitive base compensation package with lucrative quarterly performance-based incentive bonuses.Comprehensive medical, life, and accidental insurance coverage for complete family security.Sponsored professional certifications in cloud architecture, big data engineering, and machine learning.Hybrid work flexibility supported by high-speed internet reimbursement and equipment grants.Ample paid time off, maternity/paternity leave policies, and dedicated mental health wellness days.Vibrant office environment equipped with recreational facilities, catered lunches, and continuous learning programs.A Day in the LifeYou kick off your morning by monitoring Apache Kafka streaming pipelines for any data latency issues. Next, you collaborate with data engineers to optimize an ETL workflow in Talend. After lunch, you build an interactive Power BI dashboard tracking enterprise KPIs, present your findings during the afternoon stakeholder meeting, and wrap up by writing Python scripts for statistical analysis. .