- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Candidates with any graduate degree are eligible to apply.
- Resume
- Required to apply
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Job description
About Tecnoprism
Tecnoprism is a dynamic digital workplace that transforms innovative ideas into advanced software products and solutions. The company emphasizes a customer-centric approach, enabling businesses to maintain competitive advantages by leveraging knowledge, experience, and technology. Tecnoprism advances automation and AI-driven solutions to boost productivity while harnessing data-driven insights to unlock business value. Headquartered in Gujarat with over 200 professionals, it serves prestigious Fortune 500 clients and key government and BFSI sectors across India, the Middle East, UK/Europe, and the USA.
Job Summary
This role involves crafting, deploying, and sustaining scalable data engineering pipelines and platforms. The suitable candidate will have solid expertise handling vast datasets, executing ETL workflows, utilizing cloud ecosystems, and applying contemporary data engineering technologies.
Key Responsibilities
- Architect, develop, and enhance ETL data pipeline solutions.
- Construct and manage data lakes and warehouses.
- Handle both structured and unstructured data efficiently.
- Maintain high standards of data quality, reliability, and performance.
- Partner with data scientists, analysts, and product development teams.
- Write optimized SQL queries and design effective data models.
- Apply best practices in data security and governance.
- Detect and resolve failures within data pipelines.
- Automate workflows involved in data processing.
Required Skills & Qualifications
- Hands-on experience with AWS cloud platform.
- Proficient in SQL and advanced data modeling techniques.
- Strong skills in Python and PySpark programming languages.
- Experience with ETL frameworks such as Airflow, Informatica, Talend, and SSIS.
- Expertise with data warehousing technologies like Snowflake, Redshift, BigQuery, and Azure Synapse.
- Familiarity with Big Data ecosystems including Hadoop and Spark.
- Knowledge of REST API integration and data ingestion methods.
- Understanding CI/CD processes tailored for data workflows.
Database Technologies
- Experienced with relational databases: MySQL, PostgreSQL, SQL Server, and Oracle.
- Working knowledge of NoSQL databases like MongoDB, Cassandra, and DynamoDB is advantageous.
Additional Desirable Skills
- Experience with Kafka or other streaming platforms.
- Familiarity with dbt for data transformation.
- Hands-on experience in real-time data processing.
- Exposure to pipelines supporting machine learning workflows.
- Understanding of data governance and privacy compliance.
Employee Benefits
- Provident Fund (PF), Gratuity, and Medical Insurance coverage.
- Hybrid working arrangement to balance work and personal life.
- Flexible tax benefit plan to optimize tax savings.
- An active employee engagement team for addressing concerns promptly within 24-48 hours.
Eligibility
Open to candidates holding any graduate degree.
Minimum education
Bachelor's Degree
Industry
Software Development