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Hadoop Jobs in Mumbai

1 - 15 of 89
1 - 15 of 89
Search Results - Hadoop Jobs in Mumbai
Smartavya Analytica-Mumbai
Requirements:  •  5+ years of overall experience in developing, testing & implementing big data projects using Hadoop, Spark, Hive.  •  Hands-on experience playing lead role in big data projects, responsible for implementing one or more tracks within...
LTIMindtree-Mumbai
Skill : Java Spark Developer/ConsultantJob Locations : Chennai, Pune, Bangalore, MumbaiNotice Period : AnyExperience : 3-12 yearsJob Description :Java Spark Developer:Mandatory Skills : Hadoop Spark SparkSQL - Java (Apache Spark, Big Data Hadoop...
Smartavya Analytica-Mumbai
Senior Hadoop Solutions Architect Experience: 12-18 years in Analytics and Big Data with at least the last 3-4 years in CDP Senior Hadoop Solutions Architect role Location: Mumbai, India Department: Big Data, Analytics and Cloud Company...
Smartavya Analytica-Mumbai
solutions to extract, transform, and load data from various source systems (databases, flat files,) into data warehouse.Optimize ETL processes and proficiency in SQL and at Database level.Exposure to CDP Hadoop is distinct advantage.Location...
Tech Consulting-Mumbai
possess a solid knowledge of Big Data infrastructures, but must also have fluency in the following areas (allowing for fluid interactions with other team members scattered across the entry to senior level spectrum):  •  Hadoop development and implementation...
Smartavya Analytica-Mumbai
ETL solutions to extract, transform, and load data from various source systems (databases, flat files,) into data warehouse.  •  Optimize ETL processes and proficiency in SQL and at Database level.  •  Exposure to CDP Hadoop is distinct advantage...
Hinduja Tech Limited-Mumbai
and certifications on upcoming [NoSQL/Hadoop oriented databases like MongoDB, Cassandra, others] for non-relational databases. Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures...
Quantiphi-Mumbai
experience on one or more of the Big Data/Hadoop distributions (or ecosystems) like, Cloudera/Hortonworks, MapR, Azure HDInsight, IBM Open platform, Kafka, Hive, Spark etc.Good understanding of the following AWS Data services, Redshift, RDS, Athena or SQS...
UST-Mumbai
Dear Candidate , Please share following details over email. To Proceed further .   1.  Total Years of Experience -   2.  Relevant Experience - Big Data   3.  Relevant Experience - hadoop   4.  Relevant Experience - Airflow   5.  Relevant Experience - Scala...
LTIMindtree-Mumbai
Greetings from LTIMindtree!!We are Hiring Bigdata Professionals!!Key Skill : Spark+Java Location: Pune, Mumbai, Bangalore, Chennai, Hyderabad Job Description:Mandatory Skills : Apache Spark, Big Data Hadoop Ecosystem, Java Good to Have Skills...
upGrad Rekrut-Mumbai
Should have working experience on on-premises and cloud-based data infrastructure handling large and diverse datasets  •  Experience in one or more of the below technologies is preferred  •  AWS/GCP/Azure  •  Kubernetes/Docker Swarm  •  Apache Hadoop & Apache...
LTIMindtree-Mumbai
Skill : Java Spark Developer/Consultant Job Locations : Chennai, Pune, Bangalore, Mumbai Notice Period : Any Experience : 3-12 years Job Description : Java Spark Developer: Mandatory Skills : Hadoop Spark SparkSQL - Java (Apache Spark, Big...
Velotio Technologies-Mumbai
products with enterprise customers  •  Want to learn to leverage public cloud services & cutting-edge big data technologies, like Spark, Airflow, Hadoop, Snowflake, and Redshift  •  Work collaboratively as part of a close-knit team of geeks, architects...
Quantiphi-Mumbai
Strong working experience on one or more of the Big Data/Hadoop distributions (or ecosystems) like, Cloudera/Hortonworks, MapR, Azure HDInsight, IBM Open platform, Kafka, Hive, Spark etc.  •  Good understanding of the following AWS Data services, Redshift...
AFour Technologies (An Alten Group Company)-Mumbai
within a data engineering team. Technical Skills: Expertise in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, and cloud platforms (e.g., AWS, Azure, GCP). Strong knowledge of data modeling, data warehousing, and data...
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