Team Assistant

This 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