14/07/2021
We are Hiring
Exponentia (Remote) : Big Data Engineer- Spark Developer : Upto 18 LPA
Male/Female
About Process-This role will act as a bridge between backend IT function and the wider global analytics team and is focused on delivering crucial data solutions to meet the needs of the business.
You will manage the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data;
Acquire, create and manage innovative data assets for the team. These assets will draw from various sources – internal and external systems, flat files, databases and external APIs;
or re-engineered analytics and reporting solutions to determine their feasibility, time requirements and their compatibility with current systems and architecture standards;
Active participation in the development of the data lake, data marts and subsequent enhancements, including the creation of new data solutions to support development of analytic capabilities;
Interact with stakeholders regarding data availability and report format/presentation, to ensure the report provides the information the stakeholders need without compromising the report’s accuracy;
Deliver new capabilities to the business through agile methods – experiences with Scrum and Jira are a plus.
Title-Big Data Engineer- Spark Developer
Location-Remote Working
Requirement-The ability to design, implement and use effective database structures to ensure data is organised effectively and ready for downstream development of data science and analytics;
Experience working in a structured environment and desire for good documentation, exceptional delivery, effective organisation, and high-quality communication;
Experience in big data tools like spark, pyspark
Hands on experience with modern data storage systems (e.g. S3, Snowflake, Athena, Glue);
Feeling comfortable using AWS, Kubernetes, Docker and Airflow;
Strong SQL and data profiling skills;
Hands-on ELT experience using tools like Streams and Tasks or DBT;
Familiarity with a traditional BI application such as Power BI, Tableau or Spotfire;
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Knowledge of data types including JSON, XML, YAML is a plus;
Solid understanding of data warehousing principles, concepts and best practices (e.g. ODS, Data Mart, Data Lakes, Data Vault);
Strong problem solving and analytic skills.
Any Graduate - Any Specialization (B.Sc. (IT), M.Sc. (IT), BCA, MCA, B.E Computers) with good academic qualifications with 3 years exp
Shift timings-General Shift (9 am - 6 pm / 10 am - 7 pm)
Transport Boundaries-NA
Transport Facilities-NA
Salary Range-10-18 LPA
Weekly Off-Saturday and Sunday fixed off
Age-Upto 40 years
Interested person share your profile to [email protected]
Jay Groups of Counsulting
https://www.linkedin.com/company/79688563/admin/