Onix Datametica is Hiring Abintio Professionals

Role - Data Engineer (Ab-Initio & GCP)

Location - Hyderabad/Bangalore

Mode of Work - Work from Office (all 5 days a week)

Summary

We are looking for highly skilled Data Engineers with 3 to 5 years of experience in building

and managing advanced data solutions. The ideal candidate should have extensive experience

with SQL, Ab-Initio, Teradata and Google Cloud Platform (GCP).

Key Responsibilities

• Be the part of the team towards design, development, and optimization of large-scale

data pipelines, ensuring they meet business and technical requirements.

• Implement data solutions using SQL, Ab-Initio, Teradata and GCP; ensuring

scalability, reliability, and performance.

• Mentor and guide the colleagues in the development and execution of ETL processes

and data integration solutions.

• Take ownership of end-to-end data workflows, from data ingestion to transformation,

storage, and accessibility.

• Lead performance tuning and optimization efforts for complex SQL queries and

Teradata database systems.

• Design and implement data governance, quality, and security best practices to ensure

data integrity and compliance.

• Manage the migration of legacy data systems to cloud-based solutions on Google

Cloud Platform (GCP).

• Ensure continuous improvement and automation of data pipelines and workflows.

• Troubleshoot and resolve issues related to data quality, pipeline performance, and

system integration.

• Stay up-to-date with industry trends and emerging technologies to drive innovation

and improve data engineering practices within the team.

Required Skills

• 4 to 6 years of experience in data engineering or related roles.

• Strong expertise in SQL, Teradata, and Ab-Initio.

• Proficient and good hands on experience in using the Ab-Initio development products

- GDE, Conduct>IT, Control Center, Continuous Flows, EME, M-HUB, etc.

• Hands-on experience over Unix/Shell scripting.

• Proficient in scheduling and analyzing jobs using Autosys (or any similar) Scheduler.

• In-depth experience with Google Cloud Platform (GCP), including tools like

BigQuery, Cloud Storage, Dataflow, etc.

• Proven track record of leading teams and projects related to data engineering and ETL

pipeline development.

• Experience with data warehousing and cloud-native storage solutions.

• Strong analytical and problem-solving skills.

• Experience in setting up and enforcing data governance, security, and compliance

standards.

Preferred (good to have) Skills

• Familiarity with other cloud platforms/services (AWS, Azure).

• Familiarity with any other ETL tools like Informatica, Datastage, Alteryx, etc.

• Knowledge of Big Data technologies like Hadoop, Spark, Hive, Scala, etc.

• Strong communication skills and the ability to collaborate effectively with both

technical and non-technical teams.