Description

You will lead the design, development, and implementation of data pipelines and ETL processes using structured and unstructured data.

Responsibilities

• Design and optimize complex SQL, shell scripts, and data ingestion pipelines for low-latency stream processing.
• Lead semantic modeling, development activities, and the creation of reporting mapping documents.
• Monitor system performance and advise on necessary infrastructure or configuration changes.
• Manage solution delivery teams and coordinate with customers to scope projects and perform risk analysis.
• Translate business requirements into technical specifications and design ETL architectures.

Required Skills

• 5+ years of experience in data engineering and ETL development.
• Hands-on experience with ETL tools such as Informatica, DataStage, or Talend.
• Proficiency in Python and SQL development.
• Strong expertise in RDBMS concepts and dimensional modeling (Star and Snowflake schemas).
• Experience with data integration from multiple sources and mapping between source, core, and semantic structures.
• Working knowledge of cloud environments including AWS, Azure, or GCP.
• Experience in customer-facing roles managing large engagements and delivery teams.
• Background in financial services, telecom, or retail domains.

Preferred Skills

• Hands-on experience with Teradata tools, technologies, or certifications.
• Experience with Big Data technologies including Pig, Hive, Spark, Kafka, or NiFi.
• Knowledge of NoSQL databases like HBase, Cassandra, or MongoDB.

Key Skills

Education

Any Graduate