Big Data Engineer (W2 Candidates only)

• § Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in batch and near real-time), egestion and governance.

§ Participate in collaborative software and system design and development of the new NCR Data Lake on Hortonworks HDP and HDF distributions.

§ Manage own learning and contribute to technical skill building of the team.

§ Inspire and cultivate the engineering mindset and systems thinking.

§ Gain deep technical expertise in the data movement patterns, practices and tools.

§ Play active role in Big Data Communities of Practice.

§ Put the minimal system needed into production.

Required Qualifications

§ Bachelor’s degree or higher in Computer Science or a related field.

§ Good understanding of distributed computing and big data architectures.

§ Passion for software engineering and craftsman-like coding prowess.

§ Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred).

§ Experience with at least one of the leading CDC (Change Data Capture) tools like Informatica PowerCenter.

§ Development experience with at least one NoSQL database. HBase or Cassandra preferred.

§ Polyglot development (4-5 years+)

Capable of developing in Java and Scala with good understanding of functional programming, SOLID principles and, concurrency models and modularization.

§ DevOps

Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. Experience with Maven (or Gradle or SBT) and Git preferred.

§ Experience in Agile development including Scrum and other lean techniques.

§ Should believe in You Build! You Ship! And You Run! Philosophy.

§ Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence.

Desired Qualifications

§ Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas.

§ Experience with ETL tools like Talend, Pentaho, Attunity etc.

§ Knowledge of Teradata, Netezza etc.

§ Good grounding in NoSQL data stores such as Cassandra, Neo4j etc.

§ Strong knowledge on computer algorithms.

§ Experience with workload orchestration and automation tools like Oozie, Control-M etc.

§ Experience in building self-contained applications using Docker, Vagrant. Chef.

Thanks and Regards,

Ankur Bhatia