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Job Requirements of Sr.Data Engineer (Hadoop)-Bangalore:
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Employment Type:
Full-Time
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Experience:
Not Specified
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Education:
Not Specified
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Travel:
Not Specified
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Manage Others:
Not Specified
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Location:
Bengaluru, Karnataka (Onsite)
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Sr.Data Engineer (Hadoop)-Bangalore
Diverse Lynx India Pvt. Ltd.
Bengaluru, Karnataka (Onsite)
Full-Time
As a Senior Data Engineer, you will work on cutting edge, petabyte scale Hadoop eco system to ingest raw data and transform it, in to a usable and consumable information for various operational and advanced analytics purpose.
You will
Build, test & maintain enterprise data lake and data pipelines
Work with analytics partners to deploy scalable data pipelines for analytical needs
Adhere to the plan and quality needs of data solutions to various business problems
Explore and establish new technologies, tools and new ways of solving problems
Adapt to competing demands and step outside comfort zone
You will have
Engineering degree in Computer Science or related technical field, or equivalent practical experience.
4 to 7 years of Big Data experience with experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming.
Expertise in one or more programming languages like Java, Scala or Python and in unix scripting.
Expertise in using query languages such as SQL, Hive, Sqoop and SparkSQL.
Expertise in storage and process optimization techniques in Hadoop and Spark.
Experience in using tools like Jenkins for CI, Git for version Control
Exposure to Google Cloud (GCP) data components such as Cloud Data Flow, Cloud Data Proc, BigQuery and BigTable is preferred
Experience in using MicroStrategy and PowerBI Reporting tools is preferred
Strong problem-solving, communication and articulation skills
As a Data Engineer, you will work on cutting edge, petabyte scale Hadoop eco system to ingest raw data and transform it, into a usable and consumable information for various operational and advanced analytics purpose.
You will,
Build, test & maintain enterprise data lake and data pipelines
Work with analytics partners to deploy scalable data pipelines for analytical needs
Adhere to the plan and quality needs of data solutions to various business problems
Explore and establish new technologies, tools and new ways of solving problems
Adapt to competing demands and step outside comfort zone
You will have
Engineering degree in Computer Science or related technical field, or equivalent practical experience.
2 to 4 years of Big Data experience with 3+ years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming.
Expertise in one or more programming languages like Java, Scala or Python and in unix scripting.
Expertise in using query languages such as SQL, Hive, Sqoop and SparkSQL.
Expertise in storage and process optimization techniques in Hadoop and Spark.
Experience in using tools like Jenkins for CI, Git for version Control and
Exposure to Google Cloud (GCP) data components such as Cloud Data Flow, Cloud Data Proc, BigQuery and BigTable is preferred
Experience in using MicroStrategy and PowerBI Reporting tools is preferred
Strong problem-solving, communication and articulation skills
Recommended Skills
- Apache Hadoop
- Apache Hive
- Apache Spark
- Articulation
- Big Data
- Business Process Improvement
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Job ID: 14329623
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