Data Engineer

Last update 2024-05-18
Expires 2024-06-18
ID #2156952336
Data Engineer
India, Andhra Pradesh, Hyderabad,
Modified May 16, 2024


Title: Data Operations Associate
Location: Hyderabad
Experience: 6+years
NP: Immediate to 15days
Company Profile:
Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences. We #Rise together to create sustainable businesses that can bring about lasting change in our communities – to create an equal world, to be future ready, and to create value. We are 152,000+ professionals across 90 countries, helping 1297 global customers including Fortune 500 companies
Job Description:
Primary Responsibilities

high quality client service externally and internally. Address inquiries, perform controls, data modeling, resolve problems, and mitigate risks for clients and internal partners.
daily internal verification checks to ensure data is accurate and available within SLAs.
and troubleshoot data pipeline issues and feed processing exceptions and triaging with Data Engineering Support when needed.
complete and maintain operational workflows and identify and execute opportunities for optimization.
and resolve complex and intricate issues and perform ad-hoc analysis of large data sets while meeting tight deadlines
with data engineers related to optimizing application logic and functionality in the Azure Gen2 Data Lake, Data Factory, Data Bricks and SQL Database environments.
knowledge of the firm’s operational data hubs and warehouse schema.
on cross-functional teams to represent the Data Team on various projects.
proven communication and problem-solving skills to resolve support issues as they arise.
Strong sense of urgency
Bachelor’s degree in Computer science, Information Systems or equivalent experience required.
3+ years served as Data Engineer or Data Operations role
3+ years of experience working with SQL
2+ years of experience with Microsoft Azure Data Lake, Data Factory, and SQL Database products or equivalent products from other cloud services providers
Expert knowledge and experience developing efficient ETL data pipelines having multiple sources
Experienced in the use of standard ETL tools and techniques (e.g. SSIS or any equivalent ETL tools)
Familiar with modern data lake, data warehousing, and ETL/ELT concepts
Knowledgeable about data modeling, data access, and data storage techniques.
Ability to work in an Agile Scrum environment
Strong written and verbal communication skills

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Data engineer

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