Servicesbangalore
Required experience 9 – 15 years posted on 17 jun 2022
Basic section number of positions 1 band d1 band name assistant vice president cost code 8122101 campus/non campus non campus employment type – requisition type new complexity level not applicable tat 120 created by anjli khantwal organisational group analytics sub group retail media & hi-tech organization services lob services sbu analytics country india city bangalore center exl business process solutions-bengaluru
Skills
Skill
Data engineer
Python
Sql
Data warehouse
Vendor management
Client management & negotiation/closure
Minimum qualification
B.tech/b.e
Certification
No data available
Job description job responsibilities
Collaborate across teams on the design and maintenance of our operations data mart (etl, data modeling, metric design, reporting) to assure a stable reporting infrastructure
Take on research projects to improve data processing and any implemented machine learning frameworks used by our team
Be exemplary in promoting data engineering best practices within the team
Introduce new skills and knowledge into the team adding to the already dynamic environment our data engineering team has created
Develop team members to share knowledge, best practices and elicitation of documentation of system requirements
Understand business and technical requirements and constraints to design effective software solutions
Create conceptual architectures and detailed designs for software solutions
Use different data warehousing concepts to build a data warehouse for reporting purpose.
Build data pipelines to ingest and transform the data into our data platform
Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies
Develop, implement and tune large-scale distributed systems and pipelines that process large volume of data
Assist data science / modeling teams in setting up data pipelines & monitoring daily jobs.
Develop and test etl components to high standards of data quality and act as hands-on development lead.
Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.).
Ensuring that developer responsibilities are being met by mentoring, reviewing code and test plans, verifying that design best practices as well as coding and architectural guidelines, standards, and frameworks are adhered to by offering guidance, communicating risk, and addressing roadblocks as they arise.
Must have:
8+ years of experience in data engineering role in an analytics environment
Comfortable coding in python /java and adavances sql
5+ years of experience big data engineering
Bachelor’s degree in a technical field (computer science degree preferred not mandatory); master’s degree is a plus.
Working knowledge of relational database management systems (rdbms) like oracle, teradata, sql server etc(knowledge of bigquery would be a plus)
Expertise in building data pipelines in big data platforms; good understanding of data warehousing concepts
Knowledge of shell scripting, sql, python & some of the standard data science packages (pandas, numpy, etc.).
Working knowledge of cloud platforms (gcp exposure would be a plus)
Strong verbal and business communication skills.
Strong business acumen & demonstrated aptitude for analytics that incite action.
Workflow
Workflow type
L&s-da-consulting
Hiring insights
Job activity
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