Data Engineer

Data Engineer

  • Anywhere

Company Name:-
ADCI – Haryana

Job Location:-
Gurgaon, Haryana

Job Summary:-
Degree in Computer Science, Engineering, Mathematics, or a related field and 3+ years industry experience
Demonstrated strength in data modeling, ETL development, SQL and data warehousing.

Data Warehousing Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.

) and/or Oracle, Redshift, MS SQL server DBs/related DBs
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Query performance tuning skills using SQL and Unix profiling tools
Strong project management skills, including work prioritization, planning, and task delegation
Ability to effectively communicate (both written and verbally) technical information and the results of engineering design at all levels of the organization

Operations Finance Technology team, responsible for building technical solutions for multi-billion WW Operational Cost analytic including Inbound cost (Receiving / PO), variable Cost, fixed cost, outbound (Customer Shipments / Transportation), and Customer Service, is looking for a Data Engineer.

As a data engineer, you will get the exciting opportunity to work on very large data sets in one of the world’s largest and most complex data warehouse environments.

You will work closely with the business teams in analysis on various cost savings initiatives, many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

You will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.

You will have an opportunity to work with leading edge technologies like Redshift, Hadoop/Hive/Pig.

You will be writing scalable queries and tuning performance on queries running over billion of rows of data.

PREFERRED QUALIFICATIONS
Industry experience as a Data Engineer or related specialty (e.

g.

, Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.

Strong business acumen
Experience leading large-scale data

FOR MORE DETAILS CLICK BELOW LINK

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