Job summary
Job post source
This job is directly from Tata Consultancy Services
Job overview
The Data Engineer role at Tata Consultancy Services involves designing and maintaining scalable data pipelines to support data extraction, transformation, and loading, impacting the company's data analytics capabilities.
Responsibilities and impact
The Data Engineer will design, build, and maintain data pipelines using Databricks and Spark, optimize databases with data modeling, manage code with GitHub, and ensure data reliability for analytics.
Compensation and benefits
The salary range is $80,000 to $95,000 per year; no additional benefits are specified.
Experience and skills
Requires a bachelor's degree in Computer Science or related field, 3-4 years of data engineering experience, proficiency in Databricks, Spark, SQL, Python, and GitHub, along with strong problem-solving and communication skills.
Company overview
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions. They generate revenue through a diverse portfolio, including software development, infrastructure services, and business process outsourcing. Founded in 1968, TCS is a subsidiary of the Tata Group, one of India's largest and oldest conglomerates. The company is known for its innovation, robust delivery model, and extensive global presence, serving clients across various industries.
How to land this job
Position your resume to highlight proficiency in Databricks, Spark, SQL, and Python, focusing on your experience with scripting and data manipulation.
Emphasize your experience in building and maintaining scalable data pipeline architectures and your familiarity with GitHub for version control.
Apply through Tata Consultancy Services' official corporate website and LinkedIn job postings to maximize your application visibility.
Connect with current Data Engineers or team members in the data engineering division at Tata Consultancy Services on LinkedIn; start conversations by referencing recent projects they’ve shared or asking about their experience working with Databricks and Spark.
Optimize your resume for ATS by including keywords such as 'data pipelines,' 'Databricks,' 'Spark,' 'SQL,' 'Python,' 'GitHub,' and 'data modeling' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking.
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