Senior AWS Data engineer

Job description

Lookingfor Senior AWS Data Engineer –Bangalore, Gurgaon

Position: Senior AWS Data Engineer

Location: Bangalore, Gurgaon

WorkMode: Hybrid

Primary Skills: AWS data and analytics, AWS cloud

 Website- https://bizmetric.com/

Bizmetric is looking for a talented and accomplished Senior AWS Data Engineer to join the team. About Bizmetric Bizmetric is a fast-paced organization that is marking an exponential growth every quarter. Our Headquarters is in Houston, US and regional offices in Mumbai, Bangalore, Gurgaon, Pune & Madurai, India. We have a strong hold on Oracle applications & Advanced Data Analytics and our team comprises of experts who have almost 15+ years of experience in the required skill set. We have delivered some complex business scenarios for Finance, SCM, Procurement, and HR functions. Bizmetric has vast experience of successfully serving different strata of industries ranging from Manufacturing, Retail, Oil & Gas, Logistics, and Life Sciences. We are expanding both in advanced technologies and across geographies. We have marked our presence in the US, UK, Australia, and the Middle East Market. To know more about us

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 LinkedIn- https://www.linkedin.com/company/bizmetric/

Roles and Responsibilities:

• Design and build large-scale enterprise data solutions and applications using one or more AWS data and analytics services using EMR, Lambda, Glue, DynamoDB, RedShift, Kinesis.


• Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.


• Must have experience in design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.


• MUST have HANDS-ON experience on Hadoop tools/technologies like Spark (Strong in Spark), Map Reduce, Hive, HDFS.


• HANDS-ON expertise and excellent understanding of big data toolsets such as Sqoop, Spark streaming, Kafka, NiFi.


• Good working knowledge in NoSQL DB (Mongo, HBase, Casandra)


• Implemented complex projects dealing with the considerable data size (TB/ PB) and with high complexity in the production environment.


• Hortonworks (HDPCA/HDPCD/HDPCDSpark) or Cloudera certification is an added advantage

. • Bachelor's degree or higher in a quantitative /technical field (e.g., Computer Science, Statistics, Engineering) and software development experience with proven hands-on experience in Big Data technologies.

• Experience in developing/architecting environments in the Hadoop ecosystem using HDP and HDF

. • Demonstrated strength in data modelling, ETL development, and Data.

• Experience in designing and implementing an enterprise data lake.


• Experience in Big Data Management and Big Data Governance


• Some experience with Kubernetes, Docker containers, etc. Join our dynamic and innovative team, and contribute your expertise to deliver cutting-edge web applications using the latest technologies. Apply now and be part of our success story!

 Benefits You’ll Get

• Unlimited opportunities to learn on our multiple Training Platforms


• Certifications Reimbursement


• Flexibility


• Opportunity to work on multiple technologies


• Medical Coverage & Life Insurance • CompanyEvents and Outings


• Tech Thursdays and Fun Fridays


• 5 days working


• Work-Fun Environment

More Reasons to Join Us At Bizmetric

, we make sure that all our employees feel valued, appreciated, and free to be themselves. We always strive to ensure that all our employees should have an equal contributing opportunity, and they should always feel that they are exactly at the place they belong. While developing and promoting our employees, our decisions are based solely on performance, merit, competence, and potential. We do not tolerate any form of harassment, whether sexual, physical, verbal, or psychological, and we have strict policies against the same. Bizmetric is an equalopportunity employer We provide equal opportunities to all our employees and all job applicants. We do not discriminate on any ground, including race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, disability, or any other aspect which makes them unique. Across our global offices, we make sure we have the right infrastructure and have multiple programs running to embed our culture of inclusivity