11+ Optimization Jobs in Hyderabad | Optimization Job openings in Hyderabad

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

Job Description

This is an HR Generalist role wherein, you will be an integral part of our People Function team, responsible for assisting in various human resources functions and initiatives. This role offers a unique opportunity for recent graduates or individuals with limited experience to gain valuable hands-on experience and develop a strong foundation in HR practices.

Roles and Responsibilities:

1. Participate and drive creative employee engagement initiatives by coordinating with other team members.

2. Coordinate pre-onboarding schedules, induction sessions, arrange meetings with leadership, address queries, and distribute joining formalities documents, emails, etc.

3. Issuance of letters and Filing of all documents.

4. Communication : manage internal posts around company announcements, new joiners, festivals etc.

5. Handle leave management across all departments.

6. Assist in employee coordination for all internal initiatives

6. Maintaining internal data and share reports whenever required.

Good to have:

Preparing 2D creatives, Video editing, Social media management

Competencies for the role:

1. Excellent verbal and written communication skills.
2. Ability to prioritise, plan and complete work within the deadlines.
3. Complete ownership of all tasks to ensure the desired results are achieved.
4. Willingness to learn and grow.
5. Ability to act with integrity, professionalism, and confidentiality.
6. Proficiency in MS Office and strong skills in Excel.

Educational Qualification:

Business Graduate with MBA (preferred).

Location:

Work from Office - Hyderabad

Roles and Responsibilities

Financial Controller

1. Leadership and Strategic Planning: Collaborating with senior leadership on

strategic initiatives and providing financial insights

2. Budgeting and Forecasting: Leading the budgeting and forecasting process to

provide accurate financial projections.

3. Cost Control: Implementing/ identify measures to control costs and improve

profitability

4. Team Management: Leading and developing a team to ensure effective

performance and goals achievement

5. Risk Management: Identifying financial risks and implementing strategies to

mitigate them.

6. Hands on experience of fundraising from Institutional Investors and closely

monitor the due diligence process for fundraising.

7. Liaising with financial institutions, regulatory authorities, and other agencies

8. Dealing with Investment Bankers, NBFC, Rating Agencies and Govt authorities

9. Raising long term Debt and short-term funding

10. Interacting with Strategic investor, Private Equity, FIs and NBFCs

Chief Compliance Officer

11. Ensuring compliance with secretarial related matters under Companies Act 2013.

12. Liaison with Stock Exchanges, SEBI and other regulatory authorities and look

after yearly/half yearly returns, audit reports, SEBI enhanced supervision data

and other periodic compliances.

13. Handling of periodic and event-based compliances of Stock Broking, DP, Merchant

Banking, PMS and Market Making. Ensuring timely & accurate regulatory

submission to exchanges, Depositories, various PMS submission etc.

14. Review and defining processes for implementation of various circulars issued by

Exchanges, Depositories, SEBI etc.

15. Query handling in relation to regulatory area of SEBI, Exchanges & Depositories.

16. Handling regulatory & exchange inspections, if any.

17. Assist the Senior Management in overseeing the implementation of the

Compliance Policy, internal codes of conduct, prescriptions in compliance

manuals, etc.

18. Drafting of Annual Report sections relating to secretarial and legal compliances

under Companies Act.

Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office)

Job Description:

• Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.
• Create an inventory of the data necessary to build and implement a data architecture.
• Envision data pipelines and how data will flow through the data landscape.
• Evaluate current data management technologies and what additional tools are needed.
• Determine upgrades and improvements to current data architectures.
• Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems.
• Build data models for database structures, analytics, and use cases.
• Develop and enforce database development standards with solid DB/ Query optimizations capabilities.
• Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.
• Research new opportunities and create methods to acquire data.
• Develop measures that ensure data accuracy, integrity, and accessibility.
• Continually monitor, refine, and report data management system performance.

Required Qualifications and Skillset:

• Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one)
• Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)
• Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)
• Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)
• Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
• Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
• Strong grip on programming using Python and PySpark.
• Clear understanding of data best practices prevailing in the industry.
• Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)
• Strong networking and data security experience.

Awareness of the Following:

• Application development understanding (Full Stack)
• Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
• Good understanding of Analytics Platform Landscape that includes AI/ML
• Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.

About Us

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We Offer You:

• a chance to try new things & take risks.
• meaningful problems you'll be proud to solve.
• people you will be comfortable working with.
• transparent and innovative work environment.

To know more about us visit Gramener Website and Gramener Blog.

If anyone looking for the same, kindly share below mentioned details.

Total Experience:

Relevant Experience:

Notice Period:

CTCT:

ECTC:

Current Location:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.