Data Engineer+AI Exposure
- Cognizant
- 8 - 13 years
- Pune
- 2 months ago
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Job Description
Role: Data Engineer + AI Exposure
Location : Bangalore
Experience: 5 to 13 Years
Notice: Immediate to 60 days
We are seeking a skilled Data Engineer with AI/ML exposure responsible for designing, building, and maintaining scalable data pipelines and supporting data-driven applications, including AI/ML use cases. The ideal candidate should have strong expertise in data engineering tools along with working knowledge of machine learning workflows and cloud-based data platforms.
- Design, develop, and maintain scalable ETL/ELT pipelines
- Build and optimize data architectures, data lakes, and data warehouses
- Ensure data quality, integrity, and security across systems
- Work with structured and unstructured data from various sources
- Develop solutions using tools such as Azure Data Factory / AWS Glue / GCP Dataflow
- Work with big data technologies like Spark, Hadoop, or Databricks
- Manage data storage solutions including S3, ADLS, BigQuery, Snowflake, or Redshift
- Support machine learning pipelines and data preparation for ML models
- Collaborate with Data Scientists to enable feature engineering and model deployment
- Work on AI-enabled data solutions (e.g., NLP, recommendation systems, prediction models)
- Basic understanding of ML frameworks (Scikit-learn, TensorFlow, or PyTorch is a plus)
- Design and implement data models (dimensional & normalized)
- Optimize queries and pipelines for efficiency and cost
- Work closely with business teams, analysts, and ML engineers
- Implement data governance, lineage, and compliance standards
- Document workflows, pipelines, and architectures
- Strong in SQL, Python
- Experience with ETL tools and pipeline orchestration (Airflow, ADF, etc.)
- Hands-on with data warehousing concepts
- Apache Spark / PySpark
- Hadoop ecosystem (optional but preferred)
- Azure / AWS / GCP hands-on experience
- Familiarity with cloud-native data services
- Experience working with data for ML models
- Knowledge of ML lifecycle and data preparation
- Exposure to MLOps concepts (bonus)
- Preferred Qualifications
- Experience with Databricks / Snowflake
- Knowledge of API-based data ingestion
- Familiarity with CI/CD pipelines
- Exposure to real-time streaming (Kafka, Event Hub, etc.)
- Understanding of Generative AI or LLM integrations (added advantage)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: CognizantLocation(s): Pune
Keyskills: continuous integration scikit-learn pyspark ci/cd data warehousing tools artificial intelligence sql tensorflow spark gcp pytorch hadoop big data etl ml core data cd snowflake python event hub microsoft azure data engineering data bricks concepts kafka integration aws
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