DE&A - Core - Data Engineering - Microsoft SQL Server at Zensar Technologies UK Ltd
Pune, maharashtra, India -
Full Time


Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Data Warehousing, ETL, Microsoft SQL Server, MySQL, PostgreSQL, NoSQL, Git, Pandas, NumPy, Apache Spark, Kafka, AWS, Azure, GCP

Industry

IT Services and IT Consulting

Description
Junior Data Engineer / DWH & Python Developer (Fresher) Job Overview We are seeking an analytical and detail-oriented Junior Data Engineer to join our data team. The ideal candidate will assist in the design, development, and maintenance of our data warehouse solutions and ETL processes, ensuring data integrity and accessibility for business intelligence and analytics. This role requires a strong foundation in Python and SQL, problem-solving skills, and an eagerness to learn cloud-based data technologies. Key Responsibilities Data Pipeline Development: Assist in designing and building data pipelines and Extract, Transform, Load (ETL) processes to move data from various sources into the data warehouse. Database Management: Work with relational (e.g., MySQL, PostgreSQL) and potentially NoSQL databases to manage, store, and retrieve data efficiently. Coding & Automation: Write clean, efficient, and well-documented Python code for backend systems, data processing, and task automation. Data Quality & Testing: Conduct data profiling, cleansing, and testing to ensure data accuracy, consistency, and reliability. Collaboration: Collaborate with data analysts, data scientists, and other team members to understand data requirements and deliver effective technical solutions. Documentation & Support: Assist in maintaining technical documentation for data flows, processes, and data models, and provide support for data-related issues. Required Skills and Qualifications Education: A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Programming Languages: Strong proficiency in core Python programming concepts (data types, control structures, functions, OOP) and SQL for database querying and manipulation. Databases: Basic understanding of database management systems and data warehousing concepts (e.g., star schemas, dimensional modeling). Tools: Familiarity with version control systems, especially Git, and an eagerness to learn ETL tools or cloud platforms (AWS, Azure, GCP). Soft Skills: Strong analytical and problem-solving abilities, attention to detail, and excellent communication and teamwork skills. Preferred (Nice-to-Have) Skills  Exposure to Python data manipulation libraries like Pandas or NumPy. Familiarity with big data technologies (e.g., Apache Spark, Kafka) or cloud-based data services. At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar [https://www.zensar.com/careers/] and join us to Grow. Own. Achieve. Learn. [https://www.youtube.com/embed/i2NZsiQqVnU?autoplay=1&fs=1] to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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Responsibilities
The role involves assisting in the design, development, and maintenance of data warehouse solutions and ETL processes to ensure data integrity and accessibility. Key tasks include building data pipelines, managing databases, writing Python code for processing and automation, and conducting data quality testing.
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