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Data Warehouse Team Lead

1 month ago

Hyderabad, Telangana, India Helius Technologies Full time

Helius Technologies is seeking a highly experienced Data Warehouse Team Lead to join our team in Hyderabad, India. The ideal candidate will have a strong background in data warehousing and cloud technologies, with a proven track record of leading successful projects.

About the Role

The Data Warehouse Team Lead will be responsible for working with stakeholders to understand their needs for data structure, availability, scalability, and accessibility. They will develop tools to improve data flows between internal/external systems and the data lake/warehouse, as well as build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.

The role requires a deep understanding of distributed systems and cloud technologies, preferably AWS. Experience with large-scale datasets, data lakes, and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake is essential. Strong knowledge in scripting languages like Python, UNIX shell, and Spark is also required.

The ideal candidate will have experience working in an agile, dynamic, and customer-facing environment, with a strong ability to work in teams and collaborate with multiple stakeholders. They will also be able to document processes and steps, develop and maintain datasets, and improve data quality and efficiency.

Responsibilities
  • Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
  • Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
  • Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
  • Understand existing data applications and infrastructure architecture.
  • Build and support new data feeds for various Data Management layers and Data Lakes.
  • Evaluate business needs and requirements.
  • Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
  • Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.
  • Able to document the processes and steps.
  • Develop and maintain datasets.
  • Improve data quality and efficiency.
  • Lead Business requirements and deliver accordingly.
  • Collaborate with Data Scientists, Architect, and Team on several Data Analytics projects.
  • Collaborate with DevOps Engineer to improve system deployment and monitoring process.
Requirements
  • 10+ years of work experience.
  • At least 6+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.
  • Experience as a Lead – 5+ years.
  • Bachelor qualification in a computer science or STEM related field.
  • At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).
  • At least 4+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Lambda, Apache Airflows, Amazon Step Functions.
  • Professional experience working in an agile, dynamic, and customer-facing environment.
  • Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
  • Understanding of data streaming and scalable data processing is preferred to have.
  • Experience with full SDLC lifecycle and Lean or Agile development methodologies.
  • Knowledge of CI/CD and GIT Deployments.
  • Ability to work in team in diverse/multiple stakeholder environment.
Benefits

As a Data Warehouse Team Lead at Helius Technologies, you will have the opportunity to work on challenging projects, collaborate with a talented team, and grow your career in a fast-paced and dynamic environment.