Infrastructure Engineer Consultant – Hadoop
This position is responsible for collaborating with Solutions Engineering, Infrastructure Operations, and Infrastructure Service Management teams in the design and build of infrastructure solutions/blueprints for the area of responsibility; participating in the design and build of repeatable patterns (build-kits) to improve deployment times for non-prod and prod environments; transitioning knowledge to Infrastructure Operations.
Required Job Qualifications:
Bachelor’s Degree and 5 years in Information Technology or relevant experience OR Technical Certification and/or College Courses and 7-year Information Technology experience OR 9 years Information Technology experience.
Experience or Advance Knowledge with HDFS, Spark, MapReduce, Hive, HBase, ZooKeeper, Impala, SOLR, Oozie, NiFi, Flink, Sqoop, Pig, MongoDB, KAFKA and Flume.
Ability to simplify & standardize complex concepts / processes
Understanding of business priorities (e.g., vision), trends (e.g., industry knowledge) and markets (e.g., existing/ planned)
Oral & written communications.
Problem-solving / analytical skills, tools, and techniques.
Ability to prioritize and make trade-off decisions.
Drive cross-functional execution.
Adaptability and ability to introduce/manage change.
Teamwork and collaboration.
Organized and detail-oriented.
Analytical and problem-solving skills.
Preferred Job Qualifications:
Bachelor*s Degree (Computer Science, MIS, or related degrees).
8+ years of experience with Big Data solutions and techniques.
4+ years of Hadoop application infrastructure engineering and development methodology background.
Candidate should be ready for on-call support if and when needed.
Experience with Ambari, Hortonworks, HDInsight, Cloudera distribution (CDH) and Cloudera Manager is preferred.
Experience in the cloud (Azure/AWS) big data solutions using EMR, HDInsight, Kinesis, Azure Event Hubs, etc.
Experience with evaluating COTS applications.
Strong understanding and experience with different SaaS, PaaS, IaC, IaaS, DBaaS cloud models.
Strong knowledge in Cloud Data warehouses like Synapse, CDP, SQL Data warehouse, etc.
Experience with multi-tenant platforms considering Data Segregation, Resource Management, Access control, etc
Strong Programming Experience with Red Hat Linux, UNIX Shell Scripting, Java, Python, Scala, RDBMS, NoSQL, and ETL solutions.
Experience with Kerberos, TLS encryption, SAML, LDAP.
Experience with full Hadoop SDLC deployments with associated administration and maintenance functions.
Experience developing Hadoop integrations for data ingestion, data mapping, and data processing capabilities.
Experience with designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LAN/WAN, and DNS.
Experience with concepts such as high-availability, redundant system design, disaster recovery and seamless failover.
Expertise in common Hadoop file-formats including Avro, Parquet, and ORC.
Experience with automation using Ansible, CloudFormation, ARM, PowerShell, etc.
Experience distributed systems/data lake and MPP databases capable of efficiently processing Terabytes of data using Teradata, Hadoop, Netezza, etc.
Develop proofs-of-concept to benchmark key metrics for tools and architecture evaluation for big data and cloud technologies.
Planning & deploying new Hadoop Infrastructure, Upgrades, Cluster Maintenance, Troubleshooting, Capacity Planning, and Resource optimization as part of Infrastructure Operations.
Data ingestion from Kafka, NIFI, and the use of such data for streaming analytics.
Overall knowledge of Big Data technology trends, Big Data vendors, and products.
HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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