Job description

Must Have Technical/Functional Skills • Data engineer experience, SQL, AWS, Python Roles & Responsibilities Basic Qualifications • 6+ years of data engineering experience • 3+ year of experience working in a data engineering, data science, or software engineering capacity • Expertise in writing and maintaining robust data pipelines in SQL and Python • A track record of turning data requirements from stakeholders into actionable plans • Experience with cloud-native solutions • A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability Preferred Qualifications • Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field • Experience with a scripting language (e.g., Python, Java, or R) Preferred qualifications • 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale. • Extensive experience with AWS, Google Cloud Platform (GCP), or Azure. • Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow. • Strong skills in Python, Java, or Scala. • Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift. TCS Employee Benefits Summary: • Discretionary Annual Incentive. • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. • Family Support: Maternal & Parental Leaves. • Insurance Options: Aut& Home Insurance, Identity Theft Protection. • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. • Time Off: Vacation, Time Off, Sick Leave & Holidays. • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-KR3 Salary Range-$120,000-$130,000 a year

Requirements

Must-haves

Must Have Technical/Functional Skills
Data engineer experience, SQL, AWS, Python
Roles & Responsibilities
6+ years of data engineering experience
3+ year of experience working in a data engineering, data science, or software engineering capacity
Expertise in writing and maintaining robust data pipelines in SQL and Python
A track record of turning data requirements from stakeholders into actionable plans
Experience with cloud-native solutions
A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
Discretionary Annual Incentive.
Family Support: Maternal & Parental Leaves.
Insurance Options: Aut& Home Insurance, Identity Theft Protection.
Time Off: Vacation, Time Off, Sick Leave & Holidays.

Nice-to-haves

Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
Experience with a scripting language (e.g., Python, Java, or R)
Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
Strong skills in Python, Java, or Scala.
Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlawspythonjavagcpazure

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave