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سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيحالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيThis is a remote
Role : Sr Data Engineer
Experience: 5+ Years
Company Profile:
is an AI tech organization with presence across India, Singapore, Middle East, and the We are an innovative and disruptive organization, working on cutting edge technology to help our clients transform into the enterprises of the We provide artificial intelligence-based products/platforms capable of automated cognitive decision making to improve productivity, quality, and economics of the underlying business Currently, we are transforming ourselves and rapidly expanding our
has developed long term relationships with world class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst
One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), has recently been awarded Innovation Partner Award by Qlik in
Get to know more about us on our website: and Life @Exponentia.
Role Overview: A Sr Data Engineer who understands client requirements, develops and delivers the analytical solutions as per the The role requires good business understanding, ETL development, data modeling and API development experience on
Job Responsibilities
Design and development of data solution including data lake, data marts and other data solutions to support the analytics needs of the organization
Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch)
Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modeling) and understanding (documentation, exploration) of the data;
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;
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Must be able to manage small team of technical developers to deliver the end to end
Required Skills:
Hands on experience with AWS data components is required ( S3, Redshift, Athena, EMR, Kinesis and Glue);
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;
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,
Solid understanding of data warehousing principles, concepts and best practices ( ODS, Data Mart, Data Lakes, Data Vault);
Strong problem solving and analytic
BE/PG with good academic credentials
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