Hadoop Data Engineer

Job Description

Role Description: Sr. Data Engineer – Big Data The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning. Designation: Sr. Lead Data Engineer: 4 - 6 Years Role and responsibilities Strong technical, analytical, and problem-solving skills Strong organizational skills, with the ability to work autonomously as well as in a team-based environment Data pipeline framework development Technical skills requirements The candidate must demonstrate proficiency in, CDH On-premise for data processing and extraction Ability to own and deliver on large, multi-faceted projects Fluency in complex SQL and experience with RDBMSs ProjectExperienceinCDHexperience,Spark,PySpark,Scala,Python,NiFi,Hive,NoSqlDBs)Experience designing and building big data pipelines Experience working on large scale, distributed systems Strong hands-on experience of programming language like PySpark, Scala with Spark, Python. Certification in Hadoop/Big Data – Hortonworks/Cloudera Unix or Shell scripting Strong delivery background across the delivery of high-value, business-facing technical projects in major organizations Experience of managing client delivery teams, ideally coming from a Data Engineering / Data Science environment Qualifications B.Tech./M.Tech./MS or BCA/MCA degree from a reputed university We are an Equal Opportunity Employer Job Type: Full-time Pay: Up to ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you serving notice period at your current organisation Education: Bachelor's (Required) Experience: python: 3 years (Required) Work Location: In person