keyboard_backspace Big Data Developer

We are looking for a Big Data Developer who loves solving complex problems across a full spectrum of technologies. He/she will help ensure technological infrastructure operates seamlessly in support of our business objectives.

Soft Skills:

• Ability to take lead and work in a trustworthy working environment.
• Partner with the required teams and get seamless outputs.
• Should be curious to learn more and collaborate whenever needed.
• Ability to independently manage projects and report/present efforts to clients.
• Strong communication skills.

Responsibilities:

• Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
• Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals.
• Work on ingesting, storing, processing and analyzing large data sets.
• Create scalable and high-performance web services for tracking data.
• Work closely with a data science team implementing data analytic pipelines.
• Customize and manage integration tools, databases, warehouses, and analytical systems.
• Translate complex technical and functional requirements into detailed designs.
• Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented.
• Help define data governance policies and support data versioning processes.
• Maintain security and data privacy working closely with Data Protection Officer internally.

Required skills:

• Degree in computer sciences, math or engineering.
• Proficient understanding of distributed computing principles.
• Proficiency with Hadoop v2, MapReduce, HDFS.
• Experience in Python, Spark and Hive.
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Experience with integration of data from multiple data sources.
• Strong data engineering skills on the Azure Cloud Platform is essential.
• Understanding of data warehousing and data modeling techniques.
• Knowledge of various ETL techniques and frameworks, such as Flume.
• Knowledge of industry-wide analytical and visualization tools (Tableau and R).
• Knowledge of core Java, Linux, SQL, and any scripting language.