Showing 7,666 Azure Data Engineer Jobs in Gurgaon Gurugram

Mandate Skill Java, Spark, Hadoop EXP - 5 to 8 yrs Loc Pune & Mumbai only Notice Immediate to 15 Days.

Big Data and cloud Engineers Should be able to understand the requirements, provide solutions, suggestions and help in development activities after collaborating with stakeholders. • Min. 3-4 years of having good working experience in front and backend development using Python; Apache Spark; ML / gr

Data Engineer – Big Data Experience: 4–5 Years Location: Bengaluru Work Model: Hybrid Key Skills: Big Data Technologies Hadoop, HDFS, Hive Spark / Spark SQL SQL ETL Development (Ab Initio preferred) Real-Time & Batch Data Processing Roles and Responsibilities Responsibilities: Develop and maintain s

Are you passionate about helping people improve the impact of their business through the use of data and analytics If you enjoy the challenges associated with making complex information systems more user-friendly and effective, we are looking for you to join a team of creative and highly motivated p

Job Title: Senior Data Engineer Big Data (Hadoop, PySpark, SQL) Required Skills & Experience 5+ years of experience in Data Engineering, ETL, or Data Warehousing. Strong proficiency in Python, PySpark, and SQL. Hands-on experience with Hadoop ecosystem, including Hive and HDFS. Experience building a

"> Data Engineer with experience in SQL, ETL, and Big Data technologies, working with relational databases such as PostgreSQL and SQL Server. Skilled in building scalable data pipelines, performing data transformations, and deploying data applications on AWS or Azure cloud platforms using technologi

Hii folks, we are looking for Bigdata with scala. Experience : 5-8 years. location : pune only. Noitce period : immediate to 30 days. skills : Bigdata , scala, spark. Intersted can share update resume for processing.

Position: Big Data Engineer (PySpark) Experience: 5+ Years Domain: Banking & Financial Services . Job Description Big Data Engineer (PySpark) |(LTM) Required Skills Overall 5+ years of IT experience with strong Big Data development expertise. Hands-on experience in PySpark and Apache Spark ecosystem