Senior Technical Lead

7 days ago

Delhi, Delhi, India beBeeDataEngineer Full time ₹ 8,00,000 - ₹ 12,00,000

Job Summary:

A Data Architect is required to lead a team of data engineers in developing architectures that meet business needs. The individual will work closely with clients and team members to understand their requirements.

 

Job Description:

A Data Engineer is needed to support the Data Engineering team in setting up the Data Lake on Cloud and implementing standardized Data Models. The candidate will develop data pipelines for new sources, transform data within the Data Lake, implement GraphQL, work on NoSQL databases, CI/CD, and data delivery as per business requirements.

 

Key Responsibilities:

• Develop scalable data pipelines using Apache Spark, Hive query language (HQL), or other technologies.

• Collaborate with cross-functional teams to source data and make it available for downstream consumption.

• Work with the team to provide effective solution designs meeting business needs.

• Communicate regularly with stakeholders, understanding key concerns, risks, or issues not yet identified or progressing.

• Escalate critical issues to the Sponsor and/or Head of Data Engineering.

• Manage timelines, milestones, decisions, and deliveries without compromising quality and within budget.

• Coordinate communications plans for initiative execution and delivery, internal and external.

• Ensure final handover of initiatives to business-as-usual processes, conduct post-implementation reviews to ensure objectives have been delivered, and lessons learned are fed into future initiative management processes.

 

Required Skills and Qualifications:

• Experience working as a team player.

• Excellent problem analysis skills.

• Good knowledge of Azure Databricks.

• At least one cloud infrastructure provider experience (Azure/AWS).

• Experience building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL).

• Experience building streaming data pipelines using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake.

• Knowledge of NOSQL databases, including Cosmos DB, RESTful APIs, and GraphQL.

• Understanding of Big data ETL processing tools, Data modeling, and Data mapping.

• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC).

• Basic scripting knowledge (shell / bash).

• Experience working with multiple data sources, including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL/document databases, flat files.

• Basic understanding of CI CD tools (Jenkins, JIRA, Bitbucket, Artifactory, Bamboo, Azure Dev-ops).

• Basic understanding of DevOps practices using Git version control.

• Ability to debug, fine-tune, and optimize large-scale data processing jobs.

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