Senior Manager Big Data Administration

1 month ago

bangalore, India Epsilon Full time

Job Description

About BU

At the heart of everything we do is data and this team. Our premium data assets empower the team to drive desirable outcomes for leading brands across industries. Armed with high volumes of transactional data, digital expertise and unmatched data quality, the team plays a key role in improving all our product offerings. Our data artisans are keen on embracing the latest in technology and trends, so there’s always room to grow and something new to learn here.

Why we are looking for you?

Epsilon is a leading provider of multi-channel marketing services, technologies and database solutions. Epsilon is seeking a Sr Manager of Big Data Administration  with a balance of managerial and technical skills towork out of our Bengaluru, India location and oversee a team of Big Data Administrators and Data Warehouse and implementing and supporting solutions running on premise or cloud for Database Marketing clients.

What will you enjoy in this role?

Seeking a highly motivated and well-rounded Manager for Big Data Administration with combination of Tech skills and people management. Someone who is strong on Leadership and developing good professional relationships
What will you do?  

Manage, mentor and coach a team of up to 10 Database and Big Data and Administrators Working exposure handling sizeable volume (in Gb’s) of data Perform hands-on Big Data Administration on several client engagements. Participate in gathering requirements and contribute to the architecture design of Big Data client solutions for Marketing and Analytics Be proficient in cluster administration tasks including patching, upgrades, backup and recovery, troubleshooting, performance diagnostics and tuning, and SQL optimization. Hands-on experience monitoring and reporting on Hadoop resource utilization and troubleshooting. Hands-on experience supporting code deployments (Spark, Hive, Kafka etc.) into the Hadoop cluster. Experience in administration of Hadoop Big Data tools --experience working on batch processing and tools in the Hadoop technical stack (e.g., MapReduce, Yarn, Hive, presto, HDFS, Oozie) Knowledge on MPP/DW appliance database like Greenplum, Teradata etc Possess knowledge in replication to Disaster Recovery site, data encryption, backup storage and archiving procedures. Work with client teams in the support of development and deployment of Big Data and database jobs Work closely with IT, developers and competency teams to ensure that applications availability and performance are within agreed on service levels. Contribute to structures design, capacity and cluster expansion planning. Research and recommend automated approaches to Big Data and DW solution administration. Enforce standards and best practices for availability, security, backup and recovery. Contribute to developing and documenting Big Data and DW standards, guidelines and operational procedures. Evaluate Big Data and DW technologies and Cloud Services and recommend to technical management. Perform a variety of tasks relying on experience and judgment to manage time, plan and accomplish goals on several projects. Manage on-call rotation for 24 x 7 x 365 support.

Qualifications

10+ years of general technology experience (preferably database administration) B.S. in Computer Science or related discipline or equivalent work experience required. Hadoop and/or AWS certification is a plus. At least 3+ years of experience managing Data Warehousing solutions on Netezza, Teradata, Greenplum, Vertica or similar. 4+ experience managing technical teams. Cloud Data Warehouse database technologies AWS Redshift is must and Snowflake is a plus Knowledge of Hadoop and or Big Data cloud services such AWS EMR or Cloudera Ability to diagnose problems and resolve issues across various tiers (application, database, network) Strong UNIX/Linux knowledge and understanding of DW MPP architecture, technologies and concepts. Adherence to SDLC, Change Management, troubleshooting and development methodologies. Strong leadership and inter-personal skills to manage and mentor direct reports. Superb analytical and problem-solving skills Excellent written and verbal communication skills

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