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EYP - DnA - Data Engineer - Associate Manager

EYP - DnA - Data Engineer - Associate Manager

7 - 12 years

5 - 9 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

data warehousing pyspark data architecture data modeling spark schema azure data lake bi azure synapse microsoft azure power bi azure data factory business intelligence azure analysis services data bricks tableau sql azure etl aws azure database

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your key responsibilities

Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements

Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design

Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows)

Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.)

Provides technical leadership to a team of data warehouse and business intelligence developers

Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security

Adhere to ETL/Data Warehouse development Best Practices

Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP)

Assisting the team with performance tuning for ETL and database processes

Skills and attributes for success

Minimum of 7 years of total experience with 3+ years in Data warehousing/ Business Intelligence field

Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse

Strong knowledge of data architecture for staging and reporting schemas ,data models and cutover strategies using industry standard tools and technologies

Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP )

Minimum 3+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ]

2+ years hands-on experience in various Azure services preferred Azure Data Factory,Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics ,Azure Analysis Services & Databricks

Minimum of 3 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases ,Oracle/MySQL, Azure SQL and Azure Synapse

Strong in PySpark, SparkSQL

Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.)

Strong creative instincts related to data analysis and visualization.

Aggressive curiosity to learn the business methodology, data model and user personas.

Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends.

Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management

Willingness to mentor team members

Solid analytical, technical and problem solving skills

Excellent written and verbal communication skills

To qualify for the role, you must have

Bachelors or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred

Fact driven and analytically minded with excellent attention to details

Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data

Relevant work experience of minimum 6 to 8 years in a big 4 or technology/ consulting set up

Ideally, youll also have

Ability to think strategically/end-to-end with result-oriented mindset

Ability to build rapport within the firm and win the trust of the clients

Willingness to travel extensively and to work on client sites / practice office locations

Experience in Snowflake

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EYP - DnA - Data Engineer - Associate Manager