01Overview
What role will you play in the teamYou will serve as an integral member of our enterprise Big Data and Advanced Analytics division. In this position, you will architect, maintain, and optimize massive data processing pipelines and analytical models, transforming unstructured enterprise data into structured, actionable insights that empower stakeholders to make data-backed strategic decisions within our high-growth ecosystem.What you will doYou will leverage big data technologies like Apache Spark and Hadoop to process petabytes of streaming data. Your primary focus will involve developing efficient ETL workflows using Apache NiFi and Talend, executing complex statistical analyses, and designing dynamic executive dashboards utilizing Power BI and Tableau to visualize key performance metrics across multiple business verticals.Key responsibilityDesign, implement, and maintain scalable data pipelines using Apache Spark, Hadoop, and Apache Kafka for real-time analytics.Build and manage robust ETL workflows utilizing Informatica, Talend, and Apache NiFi to consolidate disparate data sources.Execute advanced statistical analysis and hypothesis testing using SAS, SPSS, and Python-based data libraries.Query and manage large datasets across distributed database management 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. .
