Its wholly owned subsidiary, T-Systems ICT India Pvt. Ltd. has its head office in Pune as its primary location and has also set up another office in Bangalore to provide its ICT services to global customers of T-Systems internationally. T-Systems offers a range of integrated solutions for business customers, including the secure operation of legacy systems and classic ICT services, the transformation to cloud-based services (including tailored infrastructure, platforms, and software) as well as new business models and innovation projects for the business fields of the future, such as data analytics, the Internet of Things, machine-to-machine (M2M) communication and Industrial Internet.

Job Description: We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

Responsibilities:

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

• Implementing ETL process (if importing data from existing data sources is relevant)

• Monitoring performance and advising any necessary infrastructure changes

• Defining data retention policies 

Skills and Qualifications:

• Proficient understanding of distributed computing principles

• Management of Hadoop cluster, with all included services

• Ability to solve any ongoing issues with operating the cluster

• Proficiency with Hadoop v2, MapReduce, HDFS

• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala, experience with Spark

• Experience with integration of data from multiple data sources

• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

• Knowledge of various ETL techniques and frameworks, such as Flume

• Experience with various messaging systems, such as Kafka or RabbitMQ

• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

• Good understanding of Lambda Architecture, along with its advantages and drawbacks. Experience with Cloudera/MapR/Hortonworks

• Good to have relevant Big Data certification