Senior Data Analytics Engineer RefRelay
RefRelay
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Delhi
Skills: SQL, Python, ETL, Data Modeling, Bi Tools, big data, cloud platforms
About RefRelay
Job Description
Immediate/Early Joiners Preferred Were seeking a seasoned Data Analytics Engineer (10+ years experience) to lead data architecture, analytics, and visualization initiatives for our client. This role involves building scalable data pipelines, transforming large datasets, and delivering actionable insights through BI tools. Key Responsibilities Design and maintain ETL pipelines, data models, and architectures. Analyze large-scale data using SQL and Python. Create dashboards and visualizations in Power BI or Tableau. Work with big data (Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP). Manage structured and unstructured data (SQL, NoSQL: Cassandra/MongoDB). Collaborate with cross-functional teams to deliver data-driven solutions. Document systems and ensure performance monitoring and data integrity. Requirements 10+ years of experience, including 5+ years in data analytics and 5+ in data engineering. Proficient in SQL, Python, ETL, and data modeling. Hands-on with BI tools, big data tech, and cloud environments. Strong communication, problem-solving, and stakeholder engagement skills. Degree in Computer Science, Data Science, or related field (Masters preferred). You may also share your resume with us at cv@refrelay.com.,